PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Zoubin Ghahramani

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Number of EPrints submitted by this user: 40

Unsupervised Learning
Zoubin Ghahramani
In: Advanced Lectures in Machine Learning Lecture Notes in Computer Science , 3176 . (2004) Springer-Verlag , Berlin , pp. 72-112.

Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani and John Lafferty
In: NIPS, 13-18 Dec 2004, Vancouver, Canada.

A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
Jian Zhang, Zoubin Ghahramani and Yiming Yang
In: NIPS, 13-18 Dec 2004, Vancouver, Canada.

Predictive Automatic Relevance Determination by Expectation Propagation
Yuan Qi, Tom Minka, Rosalind Picard and Zoubin Ghahramani
In: ICML 2004, July 4-8, 2004, Whistler, Canada.

A Graphical Model for Protein Secondary Structure Prediction
Wei Chu, Zoubin Ghahramani and David L Wild
In: ICML 2004, July 4-8, 2004, Whistler, Canada.

Gaussian Processes for Ordinal Regression
Wei Chu and Zoubin Ghahramani
(2004) Technical Report. UCL, London, UK.

Propagating Uncertainty in POMDP value iteration with Gaussian Processes
Eric P Tuttle and Zoubin Ghahramani
(2004) Technical Report. University College London, London, UK.

Bayesian Classifier Combination
Zoubin Ghahramani and Hyun-Chul Kim
(2003) Technical Report. University College London, London, UK.

Expectation propagation for infinite mixtures
Thomas P Minka and Zoubin Ghahramani
In: NIPS 2003 Workshop on Nonparametric Bayesian Methods and Infinite Models, Dec, 2003, Whistler, Canada.

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics
Robert Cowell and Zoubin Ghahramani
(2005) The Society for Artificial Intelligence and Statistics , Barbados . ISBN 0-9727358-1-X

Graph Kernels by Spectral Transforms
Xiaojin Zhu, Jaz Kandola, John Lafferty and Zoubin Ghahramani
In: Semi-Supervised Learning (2005) MIT Press .

Bayes rule in perception, action and cognition
Daniel Wolpert and Zoubin Ghahramani
In: The Oxford Companion to the Mind (2005) Oxford University Press .

U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Jaemo Sung, Sung-Yang Bang, Seungjin Choi and Zoubin Ghahramani
In: European Conference on Machine Learning (ECML 2005)(2005).

Bilinear Dynamical Systems
Will Penny, Zoubin Ghahramani and Karl Friston
Philosophical Transactions of the Royal Society B Volume 360, Number 1457, pp. 983-993, 2005.

Time-Sensitive Dirichlet Process Mixture Models
Xioajin Zhu, Zoubin Ghahramani and John Lafferty
(2005) Technical Report. Carnegie Mellon University, Pittsburgh, PA.

Infinite Latent Feature Models and the Indian Buffet Process
Thomas Griffiths and Zoubin Ghahramani
(2005) Technical Report. Gatsby Unit, London, UK.

Learning the structure of deep sparse graphical models
Ryan Adams, H Wallach and Zoubin Ghahramani
In: AISTAT 2010, 13-15 May 2010, Sardinia, Italy.

A robust bayesian two-sample test for detecting intervals of differential gene expression in microarray time series
Oliver Stegle, K Denby, E. J. Cooke, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt
Journal of Computational Biology Volume 17, Number 3, pp. 1-13, 2010. ISSN 0302-9743 (Print) 1611-3349 (Online)

Discovering temporal patterns of differential gene expression in microarray time series
Oliver Stegle, K Denby, S McHattie, S Meade, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt
In: German Conference on Bioinformatics 2009, 28-30 SEP 2009, Halle, Germany.

Correlated non-parametric latent feature models
Finale Doshi and Zoubin Ghahramani
In: UAI 2009, 18-21 JUN 2009, Montreal, Quebec.

Accelerated Gibbs sampling for the Indian buffet process
Finale Doshi and Zoubin Ghahramani
In: ICML 2009, 14-18 JUN 2009, Montreal, Quebec.

Archipelago: nonparametric bayesian semi-supervised learning
Ryan Adams and Zoubin Ghahramani
In: ICML 2009, 14-18 JUN 2009, Montreal, Quebec.

Unsupervised and constrained dirichlet process mixture models for verb clustering
Andreas Vlachos, Anna Korhonen and Zoubin Ghahramani
In: EACL 2009, 31 MAR 2009, Athens, Greece.

R/BHC: Fast bayesian Hierarchical clustering for microarray data
R Savage, Katherine Heller, Y Xu, Zoubin Ghahramani, W. M. Truman, M Grant, K. J. Denby and D. L. Wild
BMC Bioinformatics Volume 10, Number 242, 2009.

Tree-based inference for dirichlet process mixtures
Yang Xu, Katherine Heller and Zoubin Ghahramani
In: AISTATS 2009, 16-18 APR 2009, Florida, USA.

Factorial mixture of gaussians and the marginal independence model
Ricardo Silva and Zoubin Ghahramani
In: AISTATS 2009, 16-18 APR 2009, Florida, USA.

Probabilistic models for incomplete multi-dimensional arrays
Wei Chu and Zoubin Ghahramani
In: AISTATS 2009, 16-18 APR 2009, Florida, USA.

The block diagonal infinite hidden markov model
T Stepleton, Zoubin Ghahramani, G Gordon and T. S. Lee
In: AISTATS 2009, 16-18 APR 2009, Florida, USA.

Modeling and Visualizing uncertainty in gene expression clusters using dirichlet process mixtures
Carl Edward Rasmussen, B. J. de la Cruz, Zoubin Ghahramani and D. L. Wild
IEEE/ACM Transactions on Computational Biology and Bioinformatics Volume 6, Number 4, pp. 615-628, 2009. ISSN 2007.70269

Tree-structured stick-breaking processes for hierarchical modeling
Ryan Adams, Zoubin Ghahramani and M. I. Jordan
In: NIPS Workshop on Nonparametric bayesian methods, 6-11 December 2009, Vancouver, Canada.

Tree-Structured stick breaking for hierarchical data
Ryan Adams, Zoubin Ghahramani and M I Jordan
In: NIPS2010, 6-11 Dec 2010, Vancouver, Canada.

Variational inference for nonparametric multiple Clustering
Y Guan, J G Dy, D Niu and Zoubin Ghahramani
In: KDD10 Workshop on Discovering, Summarizing and Using Multiple Clusterings, 25-28 July 2010, Washington, USA.

Discovering transcriptional modules by bayesian data integration
R S Savage, Zoubin Ghahramani, J E Griffin, B de la Cruz and D L Wild
Bioinformatics Volume 26, Number i, pp. 158-167, 2010.

Kronecker graphs:an approach to modeling networks
Jure Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos and Zoubin Ghahramani
Journal of Machine Learning Research Volume 11, pp. 985-1042, 2010. ISSN 1532-4435

Learning the structure of deep sparse graphical models
Ryan Adams, H Wallach and Zoubin Ghahramani
In: AISTATS 2010, 13-15 May 2010, Sardinia, Italy.

Gene function prediction from synthetic lethality networks via ranking on demand
Christoph Lippert, Zoubin Ghahramani and Karsten Borgwardt
Bioinformatics Volume 26, Number 7, pp. 912-918, 2010.

Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series
Oliver Stegle, K Denby, E J Cooke, D L Wild, Zoubin Ghahramani and Karsten Borgwardt
Journal of Computational Biology Volume 17, Number 3, pp. 335-367, 2010.

Ranking relations using analogies in biological and information networks
Ricardo Silva, Katherine Heller, Zoubin Ghahramani and E M Airoldi
Annals of Applied Statistics Volume 4, Number 2, pp. 615-644, 2010.

Active learning for constrained dirichlet process mixture models
A Vlachos, Zoubin Ghahramani and T Briscoe
In: GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics, 11-16 July 2010, Uppsala, Sweden.

Bayesian nonparametrics and the probabilistic approach to modelling
Zoubin Ghahramani
Philosophical Transactions of the Royal Society A Volume 371, Number 1984, 2013.