Demixing smells — fast inference in olfaction Supplementary Material ´ Agnieszka Grabska-Barwinska Gatsby Computational Neuroscience Unit

Source URL: www.gatsby.ucl.ac.uk

Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can’t Yasser Roudi1,2, Sheila Nirenberg2, Peter E. Latham1* 1 Gatsby Computational Neuroscience Unit, University C

Source URL: www.gatsby.ucl.ac.uk

Demixing odors — fast inference in olfaction ´ Agnieszka Grabska-Barwinska Gatsby Computational Neuroscience Unit UCL

Source URL: www.gatsby.ucl.ac.uk

Bayesian Rose Trees Charles Blundell, Yee Whye Teh Gatsby Computational Neuroscience Unit, University College London, London, UK

Source URL: www.gatsby.ucl.ac.uk

Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine A. Heller and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London, London, WC1N 3AR, UK {heller,zoubin}@gatsby.ucl.

Source URL: www.gatsby.ucl.ac.uk

• Data mining
• Geostatistics
• Hierarchical clustering
• Mixture model
• Unsupervised learning
• Randomized algorithm
• Data stream clustering
• Consensus clustering
• Statistics
• Machine learning
• Cluster analysis

A Simple Bayesian Framework for Content-Based Image Retrieval Katherine A. Heller Gatsby Computational Neuroscience Unit University College London Zoubin Ghahramani∗

Source URL: www.gatsby.ucl.ac.uk

Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

Source URL: www.gatsby.ucl.ac.uk

• Cluster analysis
• Bioinformatics
• Data mining
• Hierarchical clustering
• Single-linkage clustering
• Conjugate prior
• Mixture model
• Dirichlet process
• Variational Bayesian methods
• Statistics
• Machine learning
• Bayesian statistics

Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, UCL, London, WC1N 3AR, UK

Source URL: www.gatsby.ucl.ac.uk

Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London

Source URL: www.gatsby.ucl.ac.uk

• Learning theory
• Cluster analysis
• Data analysis
• Mixture model
• Dimensional analysis
• Dimension
• Multivariate normal distribution
• Dirichlet process
• Covariance matrix
• Statistics
• Machine learning
• Concept learning

Bayesian Sets Zoubin Ghahramani∗ and Katherine A. Heller Gatsby Computational Neuroscience Unit University College London London WC1N 3AR, U.K.

Source URL: www.gatsby.ucl.ac.uk

• Machine learning
• Statistical inference
• Data mining
• Bayesian inference
• Cluster analysis
• Prior probability
• Information retrieval
• Expectation–maximization algorithm
• One-shot learning
• Statistics
• Bayesian statistics
• Statistical theory