@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}