Cs-Lg
Spectral Clustering with Epidemic Diffusion
Detecting Overlapping Temporal Community Structure in Time-Evolving Networks
Inference and learning in probabilistic logic programs using weighted Boolean formulas
Feature Selection Based on Term Frequency and T-Test for Text Categorization
A Comparison of Random Forests and Ferns on Recognition of Instruments in Jazz Recordings
Arriving on time: estimating travel time distributions on large-scale road networks
A Labeled Graph Kernel for Relationship Extraction
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
Learning Gaussian Networks
Asymptotically Exact, Embarrassingly Parallel MCMC
Semantic Sort: A Supervised Approach to Personalized Semantic Relatedness
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
Clustering Markov Decision Processes For Continual Transfer
TOP-SPIN: TOPic discovery via Sparse Principal component INterference
Optimization, Learning, and Games with Predictable Sequences
From average case complexity to improper learning complexity
Category-Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization
Bayesian Discovery of Threat Networks
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach
Learning Reputation in an Authorship Network
