Cs-Lg
Active Ranking using Pairwise Comparisons
Reconstruction of sequential data with density models
Differentially Private Online Learning
Higher-Order Markov Tag-Topic Models for Tagged Documents and Images
Noise Tolerance under Risk Minimization
Learning Item Trees for Probabilistic Modelling of Implicit Feedback
Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications
Deterministic Feature Selection for $k$-means Clustering
Anomaly Sequences Detection from Logs Based on Compression
MIS-Boost: Multiple Instance Selection Boosting
Review on Feature Selection Techniques and the Impact of SVM for Cancer Classification using Gene Expression Profile
Bias Plus Variance Decomposition for Survival Analysis Problems
Domain Adaptation for Statistical Classifiers
Learning Sequence Neighbourhood Metrics
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition
Gossip Learning with Linear Models on Fully Distributed Data
Learning Topic Models by Belief Propagation
On Clustering on Graphs with Multiple Edge Types
Active Learning for Node Classification in Assortative and Disassortative Networks
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
Distributed User Profiling via Spectral Methods