C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework

Calibrated Surrogate Losses for Classification with Label-Dependent Costs

Causal Inference on Discrete Data using Additive Noise Models

Causal Network Inference via Group Sparse Regularization

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics

Classification approach based on association rules mining for unbalanced data

Classification by Set Cover: The Prototype Vector Machine

Classification Constrained Dimensionality Reduction

Classifying Clustering Schemes

Classifying Network Data with Deep Kernel Machines

Classifying the typefaces of the Gutenberg 42-line bible

Closed-form EM for Sparse Coding and its Application to Source Separation

Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions

Clustering Dynamic Web Usage Data

Clustering Stability: An Overview

Co-clustering for Directed Graphs; the Stochastic Co-Blockmodel and a Spectral Algorithm

Coherence Functions with Applications in Large-Margin Classification Methods

Comment on "Fastest learning in small-world neural networks"

Community Detection in Networks: The Leader-Follower Algorithm