Cs-Lg
Supervised learning of short and high-dimensional temporal sequences for life science measurements
Eclectic Extraction of Propositional Rules from Neural Networks
Aspiration Learning in Coordination Games
Dynamic Matrix Factorization: A State Space Approach
On Learning Discrete Graphical Models Using Greedy Methods
Kernel Topic Models
Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order
Injecting External Solutions Into CMA-ES
A Reliable Effective Terascale Linear Learning System
A critical evaluation of network and pathway based classifiers for outcome prediction in breast cancer
Discussion on "Techniques for Massive-Data Machine Learning in Astronomy" by A. Gray
Provably Safe and Robust Learning-Based Model Predictive Control
On the Furthest Hyperplane Problem and Maximal Margin Clustering
Text Classification: A Sequential Reading Approach
CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation
Multi Layer Analysis
Robust Kernel Density Estimation
Data Stability in Clustering: A Closer Look
Polyceptron: A Polyhedral Learning Algorithm
Optimal Adaptive Learning in Uncontrolled Restless Bandit Problems
On the Universality of Online Mirror Descent
Stochastic convex optimization with bandit feedback
