unsupervised learning

LPmade: Link Prediction Made Easy JMLR 2011 Natural Language Processing (Almost) from Scratch JMLR 2011 Scikit-learn: Machine Learning in Python JMLR 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Sparse Filtering NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 Unsupervised Multiple Kernel Learning ACML 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Minimum Average Cost Clustering NeurIPS 2010 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Rates of convergence for the cluster tree NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 Segmentation and Unsupervised Part-based Discovery of Repetitive Objects RSS 2010 Segmentation as Maximum-Weight Independent Set NeurIPS 2010 Sphere Embedding: An Application to Part-of-Speech Induction NeurIPS 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010