Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
---|---|---|---|---|---|
Agakov, F. & Barber, D. | Kernelized Infomax Clustering [BibTeX] |
2005 | Vol. 18Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{agakov-barber-05, author = {Agakov, F.V. and Barber, D.}, title = {Kernelized Infomax Clustering}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, year = {2005}, volume = {18}, url = {../publications/agakov_barber_kernelized_infomax_clustering_nips2005.pdf} } |
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Agakov, F.V. & Barber, D. | Auxiliary Variational Information Maximization for Dimensionality Reduction [BibTeX] |
2006 | Subspace, Latent Structure, and Feature Selection Workshop (SLSFS) | inproceedings | URL |
BibTeX:
@inproceedings{Agakov_Barber_05a, author = {Agakov, F. V. and Barber, D.}, title = {Auxiliary Variational Information Maximization for Dimensionality Reduction}, booktitle = {Subspace, Latent Structure, and Feature Selection Workshop (SLSFS)}, publisher = {Springer}, year = {2006}, url = {../publications/agakov-barber-dim-red-pascal06.pdf} } |
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Agakov, F.V. & Barber, D. | An Auxiliary Variational Method [BibTeX] |
2004 | International Conference on Neural Information Processing (ICONIP)International Conference on Neural Information Processing (ICANN) | conference | URL |
BibTeX:
@conference{agakov:barber:iconipa:04, author = {Agakov, F. V. and Barber, D.}, title = {An Auxiliary Variational Method}, booktitle = {International Conference on Neural Information Processing (ICANN)}, journal = {International Conference on Neural Information Processing (ICONIP)}, publisher = {Springer}, year = {2004}, url = {../publications/agakov-barber-aux-var-icann04.pdf} } |
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Agakov, F.V. & Barber, D. | Variational Information Maximisation for Neural Coding [BibTeX] |
2004 | ICONIPInternational Conference on Neural Information Processing (ICONIP) | conference | URL |
BibTeX:
@conference{agakov:barber:iconipb:04, author = {Agakov, F. V. and Barber, D.}, title = {Variational Information Maximisation for Neural Coding}, booktitle = {International Conference on Neural Information Processing (ICONIP)}, journal = {ICONIP}, publisher = {Springer}, year = {2004}, url = {../publications/agakov-barber-neural-iconip04.pdf} } |
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Agakov, F.V. & Barber, D. | Approximate Learning in Temporal Hidden Hopfield Models [BibTeX] |
2003 | International Conference Artificial Neural Networks, ICANN | inproceedings | URL |
BibTeX:
@inproceedings{agakov-barber-2003, author = {Agakov, F. V. and Barber, D.}, title = {Approximate Learning in Temporal Hidden Hopfield Models}, booktitle = {International Conference Artificial Neural Networks, ICANN}, publisher = {Springer}, year = {2003}, url = {../publications/agakov-barber-hhm-icann03.pdf} } |
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Agakov, F.V. & Barber, D. | Temporal Hidden Hopfield Models [BibTeX] |
2002 | (EDI-INF-RR-0156) | techreport | URL |
BibTeX:
@techreport{Agakov_Barber_02, author = {F. V. Agakov and D. Barber}, title = {Temporal Hidden Hopfield Models}, year = {2002}, number = {EDI-INF-RR-0156}, url = {../publications/agakov-barber-TR0156.pdf} } |
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Barber, D. | Bayesian methods for Supervised Neural Networks [BibTeX] |
2002 | Handbook of Brain Theory and Neural Networks | inproceedings | URL |
BibTeX:
@inproceedings{barber-2002-hbtnn, author = {Barber, D.}, title = {Bayesian methods for Supervised Neural Networks}, booktitle = {Handbook of Brain Theory and Neural Networks}, publisher = {MIT Press}, year = {2002}, edition = {2nd}, url = {../publications/barber-bayes-supervised-nets-hbtnn02.pdf} } |
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Barber, D. | Identifying graph clusters using variational inference and links to covariance parametrization [BibTeX] |
2009 | PHILOS T R SOC A Vol. 367(1906), pp. 4407-4426 |
article | |
BibTeX:
@article{barber-royal-09, author = {Barber, D.}, title = {Identifying graph clusters using variational inference and links to covariance parametrization}, journal = {PHILOS T R SOC A}, year = {2009}, volume = {367}, number = {1906}, pages = {4407--4426} } |
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Barber, D. | Clique matrices for statistical graph decomposition and parameterising rstricted positive definite matrices [BibTeX] |
2008 | Uncertainty in Artificial Intelligence | article | URL |
BibTeX:
@article{barber-uai-08, author = {Barber, D.}, title = {Clique matrices for statistical graph decomposition and parameterising rstricted positive definite matrices}, journal = {Uncertainty in Artificial Intelligence}, year = {2008}, url = {../publications/cliquedecomp_uai_final.pdf} } |
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Barber, D. | Efficient Kalman Smoothing for Harmonic State-Space Models [BibTeX] |
2006 | ICASSPIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | conference | URL |
BibTeX:
@conference{barber-icassp-06, author = {Barber, D.}, title = {Efficient Kalman Smoothing for Harmonic State-Space Models}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, journal = {ICASSP}, year = {2006}, url = {../publications/barber-efficientKF-ICASSP06.pdf} } |
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Barber, D. | Expectation Correction for smoothing in Switching Linear Gaussian State Space models [BibTeX] |
2006 | Journal of Machine Learning Research Vol. 7, pp. 2515-2540 |
article | URL |
BibTeX:
@article{barber:ec:jmlr:final, author = {Barber, D.}, title = {Expectation Correction for smoothing in Switching Linear Gaussian State Space models}, journal = {Journal of Machine Learning Research}, year = {2006}, volume = {7}, pages = {2515-2540}, url = {../publications/barber-2006_ec_final_version.pdf} } |
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Barber, D. | The Auxiliary Variable Trick for deriving Kalman Smoothers [BibTeX] |
2004 | (04:87) | techreport | URL |
BibTeX:
@techreport{barber:kalman:smoother:05, author = {Barber, D.}, title = {The Auxiliary Variable Trick for deriving Kalman Smoothers}, year = {2004}, number = {04:87}, url = {../publications/kalman_smoother_idiap_rr.pdf} } |
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Barber, D. | Dynamic Bayesian Networks with Deterministic Tables [BibTeX] |
2003 | Advances in Neural Information Processing Systems (NIPS) | inproceedings | URL |
BibTeX:
@inproceedings{barber-2003a, author = {Barber, D.}, title = {Dynamic Bayesian Networks with Deterministic Tables}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, year = {2003}, url = {../publications/barber_nips_dethidden.pdf} } |
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Barber, D. | Learning in Spiking Neural Assemblies [BibTeX] |
2003 | Advances in Neural Information Processing Systems (NIPS) | inproceedings | URL |
BibTeX:
@inproceedings{barber-2003b, author = {Barber, D.}, title = {Learning in Spiking Neural Assemblies}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, year = {2003}, url = {../publications/barber_nips_spiking.pdf} } |
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Barber, D. | Finite Size Effects in Neural Network Analyses [BibTeX] |
1996 | School: Edinburgh University | phdthesis | URL |
BibTeX:
@phdthesis{barber-thesis-96, author = {Barber, D.}, title = {Finite Size Effects in Neural Network Analyses}, school = {Edinburgh University}, year = {1996}, url = {../publications/barber-thesis.pdf} } |
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Barber, D. & Agakov, F. | The IM Algorithm: A variational approach to Information Maximization [BibTeX] |
2003 | Vol. 16Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-agakov-im-nips-2003, author = {D. Barber and F.V. Agakov}, title = {The IM Algorithm: A variational approach to Information Maximization}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, year = {2003}, volume = {16}, url = {../publications/barber-agakov-IM-nips03.pdf} } |
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Barber, D. & Agakov, F.V. | Correlated sequence learning in a network of spiking neurons using maximum likelihood [BibTeX] |
2002 | (EDI-INF-RR-0149) | techreport | URL |
BibTeX:
@techreport{barber-agakov-hopfield-02, author = {Barber, D. and and Agakov, F. V.}, title = {Correlated sequence learning in a network of spiking neurons using maximum likelihood}, year = {2002}, number = {EDI-INF-RR-0149}, url = {../publications/barber-agakov-TR0149.pdf} } |
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Barber, D. & Bishop, C. | Ensemble Learning in Bayesian Neural Networks [BibTeX] |
1998 | Neural Networks and Machine Learning, pp. 215-237 | inproceedings | URL |
BibTeX:
@inproceedings{barber:bishop:98, author = {Barber, D. and Bishop, C.M.}, title = {Ensemble Learning in Bayesian Neural Networks}, booktitle = {Neural Networks and Machine Learning}, publisher = {Springer}, year = {1998}, pages = {215-237}, url = {../publications/barber-bishop-ensemble-NATO98.pdf} } |
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Barber, D. & Bishop, C.M. | Ensemble learning for Multi-Layer Networks [BibTeX] |
1998 | Vol. 10Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-bishop-98a, author = {Barber, D. and Bishop, C. M.}, title = {Ensemble learning for Multi-Layer Networks}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, publisher = {MIT Press}, year = {1998}, volume = {10}, note = {ISSN 1049 5258 ISBN 0 262 10076 2}, url = {../publications/barber-bishop-ensemble-nips97.pdf} } |
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Barber, D. & Bishop, C.M. | Bayesian Model Comparison by Monte Carlo Chaining [BibTeX] |
1997 | Vol. 9Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-bishop-97, author = {Barber, D. and Bishop, C. M.}, title = {Bayesian Model Comparison by Monte Carlo Chaining}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, publisher = {MIT Press}, year = {1997}, volume = {9}, note = {ISSN 1049 5258 ISBN 0 262 20107 0}, url = {../publications/barber-bishop-chaining-nips97.pdf} } |
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Barber, D. & Cemgil, A.T. | Graphical Models for Time Series [BibTeX] |
2010 | Signal Processing Magazine Vol. 18 |
article | URL |
BibTeX:
@article{barber-cemgil-10, author = {Barber, D. and Cemgil, A. T.}, title = {Graphical Models for Time Series}, journal = {Signal Processing Magazine}, year = {2010}, volume = {18}, url = {../publications/GMSPM.pdf} } |
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Barber, D., Cemgil, A.T. & Chiappa, S. | Inference and Estimation in Probabilistic Time-Series Models [BibTeX] |
2008 | book | URL | |
BibTeX:
@book{barber-cemgil-chiappa-08, author = {Barber, D. and Cemgil, A. T. and Chiappa, S.}, title = {Inference and Estimation in Probabilistic Time-Series Models}, publisher = {Isaac Newton Institute for Mathematical Sciences}, year = {2008}, url = {http://www.newton.ac.uk/programmes/SCH/schw05-papers.pdf} } |
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Barber, D. & Chiappa, S. | Unified Inference for Variational Bayesian Linear Gaussian State-Space Models [BibTeX] |
2006 | Vol. 20Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-chiappa-nips06, author = {Barber, D. and Chiappa, S.}, title = {Unified Inference for Variational Bayesian Linear Gaussian State-Space Models}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, year = {2006}, volume = {20}, url = {../publications/barber-chiappa-BLGSSM-nips-2006.pdf} } |
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Barber, D. & Heskes, T. | An Introduction to Neural Networks [BibTeX] |
2004 | Artificial Intelligence: Definition, Trends, Techniques and Cases; Encyclopedia of Life Support Systems (EOLSS). | incollection | URL |
BibTeX:
@incollection{barber-heskes-2000, author = {Barber, D. and Heskes, T.}, title = {An Introduction to Neural Networks}, booktitle = {Artificial Intelligence: Definition, Trends, Techniques and Cases; Encyclopedia of Life Support Systems (EOLSS). }, publisher = {EOLSS Publishers}, year = {2004}, url = {../publications/barber-heskes-nn-intro04.pdf} } |
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Barber, D. & van de Laar, P. | Variational Cumulant Expansions for Intractable Distributions [BibTeX] |
1999 | Journal of Artificial Intelligence Research Vol. 10, pp. 375-395 |
article | URL |
BibTeX:
@article{barber-van-de-laar-98, author = {Barber, D. and van de Laar, P.}, title = {Variational Cumulant Expansions for Intractable Distributions}, journal = {Journal of Artificial Intelligence Research}, year = {1999}, volume = {10}, pages = {375-395}, url = {../publications/db_jair99.pdf} } |
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Barber, D. & Mesot, B. | A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems [BibTeX] |
2006 | Vol. 20Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-mesot-nips06, author = {Barber, D. and Mesot, B.}, title = {A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, year = {2006}, volume = {20}, url = {../publications/barber-mesot-SKF-nips06.pdf} } |
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Barber, D. & Saad, D. | Does extra knowledge necessarily improve generalisation? [BibTeX] |
1996 | Neural Computation Vol. 8, pp. 202-214 |
article | URL |
BibTeX:
@article{Barber94b, author = {Barber, D. and Saad, D.}, title = {Does extra knowledge necessarily improve generalisation?}, journal = {Neural Computation}, year = {1996}, volume = {8}, pages = {202-214}, note = {ISSN 0899 7667}, url = {missing} } |
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Barber, D. & Saad, D. | Knowledge and generalisation in simple learning systems [BibTeX] |
1995 | European Symposium on Artificial Neural Networks (ESANN), pp. 161-166 | inproceedings | URL |
BibTeX:
@inproceedings{barber-saad-esann-1995, author = {Barber, D. and Saad, D.}, title = {Knowledge and generalisation in simple learning systems}, booktitle = {European Symposium on Artificial Neural Networks (ESANN)}, publisher = {ISBN 2-9600049-3-0}, year = {1995}, pages = {161-166}, url = {../publications/barber-saad-extra-knowledge-ESANN95.pdf} } |
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Barber, D., Saad, D. & Sollich, P. | Finite size effects in on-line learning of multi-layer neural networks [BibTeX] |
1996 | Europhysics Letters Vol. 34, pp. 151-156 |
article | URL |
BibTeX:
@article{Barber95f, author = {Barber, D. and Saad, D. and Sollich, P.}, title = {Finite size effects in on-line learning of multi-layer neural networks}, journal = {Europhysics Letters}, year = {1996}, volume = {34}, pages = {151-156}, url = {../publications/barber-etal-finite-effects-online-Europhys96.pdf} } |
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Barber, D. & Schottky, B. | Radial Basis Functions : a Bayesian treatment [BibTeX] |
1998 | Vol. 10Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-schottky-98b, author = {Barber, D. and Schottky, B.}, title = {Radial Basis Functions : a Bayesian treatment}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, publisher = {MIT Press}, year = {1998}, volume = {10}, note = {ISSN 1049 5258 ISBN 0 262 10076 2}, url = {../publications/barber-shottky-rbf-nips98.pdf} } |
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Barber, D. & Sollich, P. | Online Learning from Finite Training Sets [BibTeX] |
1998 | Proceedings of the Newton Institute Workshop on Online Learning | inproceedings | URL |
BibTeX:
@inproceedings{barber-sollich-98a, author = {Barber, D. and Sollich, P.}, title = {Online Learning from Finite Training Sets}, booktitle = {Proceedings of the Newton Institute Workshop on Online Learning}, publisher = {Cambridge University Press}, year = {1998}, note = {ISBN 0 521 65263 4}, url = {../publications/newton8.pdf} } |
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Barber, D. & Sollich, P. | Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks [BibTeX] |
2000 | Advances in Neural Information Processing Systems (NIPS) | inproceedings | URL |
BibTeX:
@inproceedings{barber-sollich-00a, author = {Barber, D. and Sollich, P.}, title = {Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, publisher = {MIT Press}, year = {2000}, note = {ISSN 1049 5258 ISBN 0 262 19450 3}, url = {../publications/db_nips99.pdf} } |
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Barber, D. & Sollich, P. | Stable Belief Propagation in Gaussian Dags [BibTeX] |
2007 | ICASSP Vol. 2IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 409-412 |
article | URL |
BibTeX:
@article{barber-sollich-07, author = { Barber, D. and Sollich, P.}, title = {Stable Belief Propagation in Gaussian Dags}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing}, journal = {ICASSP}, year = {2007}, volume = {2}, pages = {409-412}, url = {../publications/barber-sollich-07.pdf} } |
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Barber, D., Sollich, P. & Saad, D. | Finite size effects in on-line learning in multilayer neural networks [BibTeX] |
1997 | Mathematics of Neural Networks, pp. 84-88 | inproceedings | URL |
BibTeX:
@inproceedings{barber-etal-finite-size-effects-online-97, author = {Barber, D. and Sollich, P. and Saad, D.}, title = {Finite size effects in on-line learning in multilayer neural networks}, booktitle = {Mathematics of Neural Networks}, publisher = {Kluwer}, year = {1997}, pages = {84-88}, note = {ISBN 0 7923 9933 1}, url = {../publications/barber-etal-finite-size-effects-online-learning97.pdf} } |
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Barber, D. & Wiegerinck, W. | Tractable Variational Structures for Approximating Graphical Models [BibTeX] |
1999 | Vol. 11Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-wiegerinck-98b, author = {Barber, D. and Wiegerinck, W}, title = {Tractable Variational Structures for Approximating Graphical Models}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, publisher = {MIT Press}, year = {1999}, volume = {11}, note = {ISSN 1049 5258 ISBN 0 262 11245 0}, url = {../publications/db_nips98.pdf} } |
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Barber, D. & Wiegerinck, W. | Tractable Undirected Approximations for Graphical Models [BibTeX] |
1998 | ICANN'98: International Conference on Artificial Neural Networks, Skövde | inproceedings | URL |
BibTeX:
@inproceedings{barber-wiegerinck-98a, author = {Barber, D. and Wiegerinck, W}, title = {Tractable Undirected Approximations for Graphical Models}, booktitle = {ICANN'98: International Conference on Artificial Neural Networks, Skövde}, year = {1998}, note = {ISBN 3 540 76263 9}, url = {../publications/db_icann98.pdf} } |
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Barber, D. & Williams, C.K.I. | Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo [BibTeX] |
1997 | Vol. 9Advances in Neural Information Processing Systems (NIPS) |
inproceedings | URL |
BibTeX:
@inproceedings{barber-williams-97, author = {Barber, D. and Williams, C. K. I.}, title = {Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, publisher = {MIT Press}, year = {1997}, volume = {9}, note = {ISSN 1049 5258 ISBN 0 262 10065 7}, url = {../publications/barber-williams-GPclass-nips97.pdf} } |
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Barber, D. Saad, D. & Sollich, P. | Test error fluctuations in finite linear perceptrons [BibTeX] |
1995 | Neural Computation Vol. 7, pp. 809-821 |
article | URL |
BibTeX:
@article{Barber94a, author = {Barber, D. Saad, D. and Sollich, P.}, title = {Test error fluctuations in finite linear perceptrons}, journal = {Neural Computation}, year = {1995}, volume = {7}, pages = {809-821}, url = {missing} } |
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Barber, D. Saad, D. & Sollich, P. | Finite-size effects and optimal test set size in linear perceptrons [BibTeX] |
1995 | Journal of Physics (A) Vol. 28, pp. 1325-1334 |
article | |
BibTeX:
@article{Barber95a, author = {Barber, D. Saad, D. and Sollich, P.}, title = {Finite-size effects and optimal test set size in linear perceptrons}, journal = {Journal of Physics (A)}, year = {1995}, volume = {28}, pages = {1325-1334} } |
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Bracegirdle, C. & Barber, D. | Switch-Reset Models : Exact and Approximate Inference [BibTeX] |
2011 | Vol. 10Proceedings of The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS) |
inproceedings | URL |
BibTeX:
@inproceedings{bracegirdle-barber-aistats-11, author = {Bracegirdle, C. and Barber, D.}, title = {Switch-Reset Models : Exact and Approximate Inference}, booktitle = {Proceedings of The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS)}, year = {2011}, volume = {10}, note = {http://web4.cs.ucl.ac.uk/staff/D.Barber/publications/bracegirdle_barber_aistats2011_supplementary.zip}, url = {../publications/bracegirdle_barber_aistats2011.pdf} } |
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Cemgil, A.T., Barber, D. & Kappen, B. | A Dynamical Bayesian Network for Tempo and Polyphonic Pitch Tracking [BibTeX] |
2003 | International Conference Artificial Neural Networks, ICANN | inproceedings | URL |
BibTeX:
@inproceedings{cemgil-kappen-barber-2003b, author = {A. T. Cemgil and D. Barber and B.J. Kappen}, title = {A Dynamical Bayesian Network for Tempo and Polyphonic Pitch Tracking}, booktitle = {International Conference Artificial Neural Networks, ICANN}, year = {2003}, url = {../publications/cemgil-barber-kappen-music-icann03.pdf} } |
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Cemgil, A.T., Kappen, B. & Barber, D. | A Generative Model for Music Transcription [BibTeX] |
2006 | IEEE Transactions on Audio, Speech and Language Processing Vol. 14(2), pp. 679 - 694 |
article | URL |
BibTeX:
@article{cemgil-kappen-barber-2006, author = {A. T. Cemgil and B. Kappen and D. Barber}, title = {A Generative Model for Music Transcription}, journal = {IEEE Transactions on Audio, Speech and Language Processing}, year = {2006}, volume = {14}, number = {2}, pages = {679 - 694}, url = {../publications/cemgil-kappen-barber-music-IEEEASLP-06.pdf} } |
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Cemgil, A.T., Kappen, B. & Barber, D. | Generative Model based Polyphonic Music Transcription [BibTeX] |
2003 | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) | inproceedings | URL |
BibTeX:
@inproceedings{cemgil-barber-kappen-2003, author = {A. T. Cemgil and B. Kappen and D. Barber}, title = {Generative Model based Polyphonic Music Transcription}, booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) }, year = {2003}, url = {../publications/cemgil-waspaa03.pdf} } |
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Challis, E. & Barber, D. | Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models [BibTeX] |
2011 | Vol. 10Proceedings of The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS) |
inproceedings | URL |
BibTeX:
@inproceedings{challis-barber-aistats-11, author = {Challis, E. and Barber, D.}, title = {Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models}, booktitle = {Proceedings of The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS)}, year = {2011}, volume = {10}, url = {../publications/challis_barber_aistats2011.pdf} } |
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Chiappa, S. & Barber, D. | Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach [BibTeX] |
2007 | techreport | URL | |
BibTeX:
@techreport{chiappa-barber-07a, author = {Chiappa, S. and Barber, D.}, title = {Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach}, year = {2007}, url = {http://silviachiappa.swisspowered.net/publications/silviachiappa07dirichlet.pdf} } |
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Chiappa, S. & Barber, D. | Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models [BibTeX] |
2007 | ISPA5th International Symposium on Image and Signal Processing and Analysis | conference | URL |
BibTeX:
@conference{chiappa-barber-07b, author = {Chiappa, S. and Barber, D.}, title = {Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models}, booktitle = {5th International Symposium on Image and Signal Processing and Analysis}, journal = {ISPA}, year = {2007}, url = {../publications/silviachiappa07output.pdf} } |
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Chiappa, S. & Barber, D. | Bayesian Linear Gaussian State Space Models for Biosignal Decomposition [BibTeX] |
2007 | Signal Processing Letters Vol. 14(4), pp. 267-270 |
article | URL |
BibTeX:
@article{chiappa-barber-2006, author = {Chiappa, S. and Barber, D.}, title = {Bayesian Linear Gaussian State Space Models for Biosignal Decomposition}, journal = {Signal Processing Letters}, year = {2007}, volume = {14}, number = {4}, pages = {267-270}, url = {../publications/chiappa-barber-ieee_spl-2007.pdf} } |
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Chiappa, S. & Barber, D. | EEG Classification using Generative Independent Component Analysis [BibTeX] |
2006 | Neurocomputing Vol. 69, pp. 769-777 |
article | URL |
BibTeX:
@article{chiappa-barber-neurocomputing-05, author = {Chiappa, S. and Barber, D.}, title = {EEG Classification using Generative Independent Component Analysis}, journal = {Neurocomputing}, year = {2006}, volume = {69}, pages = {769-777}, url = {../publications/chiappa-barber-eeg-neurocomputing06.pdf} } |
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Chiappa, S. & Barber, D. | Generative Independent Component Analysis for EEG Classification [BibTeX] |
2005 | European Symposium on Artificial Neural Networks, ESANN | inproceedings | URL |
BibTeX:
@inproceedings{silviacgenerativea, author = {Chiappa, S. and Barber, D.}, title = {Generative Independent Component Analysis for EEG Classification}, booktitle = {European Symposium on Artificial Neural Networks, ESANN}, year = {2005}, url = {../publications/chiappa-barber-genica-esann05.pdf} } |
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Chiappa, S. & Barber, D. | Generative Temporal ICA for Classification in Asynchronous BCI Systems [BibTeX] |
2005 | IEEE EMBS International Conference on Neural Engineering | inproceedings | URL |
BibTeX:
@inproceedings{silviacgenerativeb, author = {Chiappa, S. and Barber, D.}, title = {Generative Temporal ICA for Classification in Asynchronous BCI Systems}, booktitle = {IEEE EMBS International Conference on Neural Engineering}, year = {2005}, url = {../publications/chiappa-barber-genica-bci-embs05.pdf} } |
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Furmston, T. & Barber, D. | Variational methods for Reinforcement Learning [BibTeX] |
2010 | Vol. 9Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 241-248 |
inproceedings | URL |
BibTeX:
@inproceedings{furmston-barber-aistat-10, author = {Furmston, T. and Barber, D.}, title = {Variational methods for Reinforcement Learning}, booktitle = {Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS)}, publisher = {JMLR}, year = {2010}, volume = {9}, pages = {241--248}, url = {../publications/varRL.pdf} } |
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Furmston, T. & Barber, D. | Solving deterministic policy (PO)MPDs using Expectation-Maximisation and Antifreeze [BibTeX] |
2009 | First international workshop on learning and data mining for robotics (LEMIR), pp. 56-70 | inproceedings | URL |
BibTeX:
@inproceedings{furmston-barber-09, author = {Furmston, T. and Barber, D.}, title = {Solving deterministic policy (PO)MPDs using Expectation-Maximisation and Antifreeze}, booktitle = {First international workshop on learning and data mining for robotics (LEMIR)}, year = {2009}, pages = {56--70}, note = {In conjunction with ECML/PKDD-2009}, url = {../publications/lemir.pdf} } |
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Mesot, B. & Barber, D. | Switching Linear Dynamical Systems for Noise Robust Speech Recognition [BibTeX] |
2007 | IEEE Transactions of Audio, Speech and Language Processing Vol. 15(6), pp. 1850-1858 |
article | URL |
BibTeX:
@article{mesot-barber-07a, author = {Mesot, B. and Barber, D.}, title = {Switching Linear Dynamical Systems for Noise Robust Speech Recognition}, journal = {IEEE Transactions of Audio, Speech and Language Processing}, year = {2007}, volume = {15}, number = {6}, pages = {1850-1858}, url = {../publications/mesot-barber-07a.pdf} } |
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Mesot, B. & Barber, D. | A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models [BibTeX] |
2007 | ICASSPIEEE International Conference on Acoustics, Speech and Signal Processing, pp. II:437-440 | article | URL |
BibTeX:
@article{mesot-barber-07b, author = {Mesot, B. and Barber, D.}, title = {A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing}, journal = {ICASSP}, year = {2007}, pages = {II:437-440}, url = {../publications/mesot-barber-07b.pdf} } |
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Mesot, B. & Barber, D. | A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models [BibTeX] |
2006 | techreport | URL | |
BibTeX:
@techreport{mesot-barber-06a, author = {Mesot, B. and Barber, D.}, title = {A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models}, year = {2006}, url = {../publications/mesot-barber-06a.pdf} } |
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Mesot, B. & D., B. | A Simple Alternative Derivation of the Expectation Correction Algorithm [BibTeX] |
2009 | IEEE Signal Processing Letters Vol. 16(1-3), pp. 121-124 |
article | URL |
BibTeX:
@article{mesot-barber-08, author = {Mesot, B. and Barber. D.}, title = {A Simple Alternative Derivation of the Expectation Correction Algorithm}, journal = {IEEE Signal Processing Letters}, year = {2009}, volume = {16}, number = {1--3}, pages = {121--124}, url = {../publications/spl_mesot_barber08.pdf} } |
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Paiement, J.-F., Eck, D., Bengio, S. & Barber, D. | A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space | 2005 | Proceedings of the 22nd International Conference on Machine Learning | inproceedings | URL |
Abstract: Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, a distributed representation for chords is designed such that Euclidean distances roughly correspond to psychoacoustic dissimilarities. Parameters in the graphical models are learnt with the EM algorithm and the classical Junction Tree algorithm. Various model architectures are compared in terms of conditional out-of-sample likelihood. Both perceptual and statistical evidence show that binary trees related to meter are well suited to capture chord dependencies. | |||||
BibTeX:
@inproceedings{paiement05art, author = {J.-F. Paiement and D. Eck and S. Bengio and D. Barber}, title = {A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space}, booktitle = {Proceedings of the 22nd International Conference on Machine Learning}, year = {2005}, note = {IDIAP-RR 05-33}, url = {../publications/paiement-etal-chords-icml05.pdf} } |
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Perrow, M. & Barber, D. | Tagging of name records for genealogical data browsing [BibTeX] |
2006 | Joint Conference on Digital Libraries, pp. 316-325 | inproceedings | URL |
BibTeX:
@inproceedings{perrow-barber-06, author = {Perrow, M. and Barber, D.}, title = {Tagging of name records for genealogical data browsing}, booktitle = {Joint Conference on Digital Libraries}, year = {2006}, pages = {316-325}, url = {../publications/perrow-barber-tagging-jcdl06.pdf} } |
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Pfister, J., Barber, D. & Gerstner, W. | Optimal Hebbian Learning: a Probabilistic Point of View [BibTeX] |
2003 | International Conference Artificial Neural Networks, ICANN | inproceedings | URL |
BibTeX:
@inproceedings{pfister-barber-gerstner-2003, author = {Pfister, J.P. and Barber, D. and Gerstner, W.}, title = {Optimal Hebbian Learning: a Probabilistic Point of View}, booktitle = {International Conference Artificial Neural Networks, ICANN}, year = {2003}, url = {../publications/pfister-barber-gerstner-optimal-hebb-icann03.pdf} } |
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Pfister, J.-P., Toyiozumi, T., Barber, D. & Gerstner, W. | Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised learning [BibTeX] |
2006 | Neural Computation Vol. 18, pp. 1309-1339 |
article | URL |
BibTeX:
@article{pfister-toyoizumi-barber-gerstner-05, author = {Pfister, J-P. and Toyiozumi, T. and Barber, D. and Gerstner,W.}, title = {Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised learning}, journal = {Neural Computation}, year = {2006}, volume = {18}, pages = {1309-1339}, url = {../publications/pfister-etal-optimal-NC06.pdf} } |
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Sollich, P. & Barber, D. | Online learning from finite training sets in nonlinear networks [BibTeX] |
1998 | Advances in Neural Information Processing Systems NIPS 10 | inproceedings | URL |
BibTeX:
@inproceedings{sollich-barber-98a, author = {Sollich, P. and Barber, D.}, title = {Online learning from finite training sets in nonlinear networks}, booktitle = {Advances in Neural Information Processing Systems NIPS 10}, publisher = {MIT Press}, year = {1998}, note = {ISSN 1049 5258 ISBN 0 262 10076 2}, url = {../publications/sollich-barber-online-nips98.pdf} } |
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Sollich, P. & Barber, D. | Online Learning from Finite Training Sets: An Analytical Case Study [BibTeX] |
1997 | Advances in Neural Information Processing Systems 9, pp. 274-280 | inproceedings | URL |
BibTeX:
@inproceedings{sollich-barber-online-finite-case-study-nips97, author = {Sollich, P. and Barber, D.}, title = {Online Learning from Finite Training Sets: An Analytical Case Study}, booktitle = {Advances in Neural Information Processing Systems 9}, publisher = {MIT Press}, year = {1997}, pages = {274-280}, note = {ISSN 1049 5258 ISBN 0 262 20107 0}, url = {../publications/sollich-barber-online-learning-case-study-nips97.pdf} } |
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Sollich, P. & Barber, D. | Online learning from finite training sets and robustness to input bias [BibTeX] |
1998 | Neural Computation Vol. 10 |
article | URL |
BibTeX:
@article{sollich-barber-98b, author = {Sollich, P. and Barber, D.}, title = {Online learning from finite training sets and robustness to input bias}, journal = {Neural Computation}, year = {1998}, volume = {10}, note = {ISSN 0899 7667}, url = {../publications/db_nc98.pdf} } |
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Sollich, P. & Barber, D. | On-line Learning from Finite Training Sets [BibTeX] |
1997 | Europhysics Letters Vol. 38, pp. 477-482 |
article | URL |
BibTeX:
@article{SolBar97, author = {Sollich, P and Barber, D}, title = {On-line Learning from Finite Training Sets}, journal = {Europhysics Letters}, year = {1997}, volume = {38}, pages = {477--482}, url = {../publications/sollich-barber-OnlineFiniteTrainingEurophys97.pdf} } |
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Westerdijk, M., Barber, D. & Gielen, S. | Generative Vector Quantisation [BibTeX] |
1999 | Vol. 2(9)ICANN 99: International Conference on Artifical Neural Networks, Edinburgh, pp. 934-940 |
inproceedings | URL |
BibTeX:
@inproceedings{westerdijk-barber-Wiegerinck-98a, author = {Westerdijk, M. and Barber, D. and Gielen, S.}, title = {Generative Vector Quantisation}, booktitle = {ICANN 99: International Conference on Artifical Neural Networks, Edinburgh}, year = {1999}, volume = {2}, number = {9}, pages = {934-940}, note = {ISBN 0 85296 721 7 ISSN 0537-9989}, url = {../publications/westerdijk-etal-gvq-icann99.pdf} } |
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Westerdijk, M., Barber, D. & Wiegerinck, W. | Deterministic Generative Models for Fast Feature Discovery [BibTeX] |
2000 | Data Mining and Knowledge Discovery | article | URL |
BibTeX:
@article{westerdijk-barber-wiegerinck-00a, author = {Westerdijk, M. and Barber, D. and Wiegerinck, W.}, title = {Deterministic Generative Models for Fast Feature Discovery}, journal = {Data Mining and Knowledge Discovery}, year = {2000}, url = {../publications/westerdijk-etal-det-gen-dmkd00.pdf} } |
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Wiegerinck, W. & Barber, D. | Mean field theory based on belief networks for approximate inference [BibTeX] |
1999 | Vol. 1International Conference Artificial Neural Networks, ICANN, pp. 499-504 |
inproceedings | URL |
BibTeX:
@inproceedings{wiegerinck-barber-icann-99, author = {Wiegerinck, W.A.J.J. and Barber, D.}, title = {Mean field theory based on belief networks for approximate inference}, booktitle = {International Conference Artificial Neural Networks, ICANN}, year = {1999}, volume = {1}, pages = {499-504}, url = {../publications/wiegerinck-barber-mft-icann98.pdf} } |
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Wiegerinck, W. & Barber, D. | Mean Field Theory based on Belief Networks for Approximate Inference [BibTeX] |
1998 | ICANN'98: International Conference on Artificial Neural Networks, Skövde | inproceedings | URL |
BibTeX:
@inproceedings{wiegerinck-barber-98a, author = {Wiegerinck, W. and Barber, D.}, title = {Mean Field Theory based on Belief Networks for Approximate Inference}, booktitle = {ICANN'98: International Conference on Artificial Neural Networks, Skövde}, year = {1998}, note = {ISBN 3 540 76263 9}, url = {../publications/wiegerinck-barber-mft-icann98.pdf} } |
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Wiegerinck, W., Kappen, B., Leisink, M., Barber, D., Stroeve, S., Heskes, T. & Gielen, S. | Variational methods for approximate reasoning in graphical models [BibTeX] |
2000 | Real World Computing Conference (Tokyo) | inproceedings | URL |
BibTeX:
@inproceedings{wiegerinck-etal-00, author = {Wiegerinck, W. and Kappen, B. and Leisink, M. and Barber, D. and Stroeve, S. and Heskes, T. and Gielen, S.}, title = {Variational methods for approximate reasoning in graphical models}, booktitle = {Real World Computing Conference (Tokyo)}, year = {2000}, url = {../publications/wiegerinck-etal-variational-methods-rwcp00.pdf} } |
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Williams, C. & Barber, D. | Bayesian Classification with Gaussian Processes [BibTeX] |
1998 | IEEE Trans Pattern Analysis and Machine Intelligence Vol. 20, pp. 1342-1351 |
article | URL |
BibTeX:
@article{williams-barber-98a, author = {Williams, C.K.I. and Barber, D.}, title = {Bayesian Classification with Gaussian Processes}, journal = {IEEE Trans Pattern Analysis and Machine Intelligence}, year = {1998}, volume = {20}, pages = {1342-1351}, note = {ISSN 0162-8828}, url = {../publications/williams-barber-pami98.pdf} } |
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