probabilistic model

Learning Temporal Association Rules on Symbolic Time Sequences ACML 2012 Multi-Assignment Clustering for Boolean Data JMLR 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 Practical Route Planning Under Delay Uncertainty: Stochastic Shortest Path Queries RSS 2012 Probabilistic Event Cascades for Alzheimer's disease NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 Active Classification based on Value of Classifier NeurIPS 2011 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality AISTATS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Factorized Orthogonal Latent Spaces AISTATS 2010 Gated Softmax Classification NeurIPS 2010