probabilistic model

Identifying graph-structured activation patterns in networks NeurIPS 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Learning From Crowds JMLR 2010 Learning the context of a category NeurIPS 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Simple Exponential Family PCA AISTATS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Estimating image bases for visual image reconstruction from human brain activity NeurIPS 2009 Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Region-based Segmentation and Object Detection NeurIPS 2009 Sequential effects reflect parallel learning of multiple environmental regularities NeurIPS 2009 Structural inference affects depth perception in the context of potential occlusion NeurIPS 2009 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009 A general framework for investigating how far the decoding process in the brain can be simplified NeurIPS 2008 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 An ideal observer model of infant object perception NeurIPS 2008 Bayesian Exponential Family PCA NeurIPS 2008