Unsupervised Learning

A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011 Anechoic Blind Source Separation Using Wigner Marginals JMLR 2011 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011 Bagged Structure Learning of Bayesian Network AISTATS 2011 Co-regularized Multi-view Spectral Clustering NeurIPS 2011 Crowdclustering NeurIPS 2011 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Forest Density Estimation JMLR 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Image Parsing with Stochastic Scene Grammar NeurIPS 2011 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011 Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Sparse Filtering NeurIPS 2011 Sparse Linear Identifiable Multivariate Modeling JMLR 2011