Cs-Lg
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
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
Application of distances between terms for flat and hierarchical data
Localization on low-order eigenvectors of data matrices
Learning Discriminative Metrics via Generative Models and Kernel Learning
How Open Should Open Source Be?
Local Component Analysis
Online Learning for Combinatorial Network Optimization with Restless Markovian Rewards
Strategic Learning and Robust Protocol Design for Online Communities with Selfish Users
Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection
Dynamic Pricing with Limited Supply
Memristive fuzzy edge detector
Generalised elastic nets
Getting Beyond the State of the Art of Information Retrieval with Quantum Theory
Structured Sparsity and Generalization
Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
