Cs-Lg
Collective Classification of Textual Documents by Guided Self-Organization in T-Cell Cross-Regulation Dynamics
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
From Machine Learning to Machine Reasoning
Inferring Disease and Gene Set Associations with Rank Coherence in Networks
Robust approachability and regret minimization in games with partial monitoring
Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees
Efficient Nonparametric Conformal Prediction Regions
Feature Selection for Generator Excitation Neurocontroller Development Using Filter Technique
Scaling Up Estimation of Distribution Algorithms For Continuous Optimization
Universal MMSE Filtering With Logarithmic Adaptive Regret
A General Framework for Development of the Cortex-like Visual Object Recognition System: Waves of Spikes, Predictive Coding and Universal Dictionary of Features
Transductive Ordinal Regression
Statistical methods for tissue array images - algorithmic scoring and co-training
Multivariate information measures: an experimentalists perspective
Optoelectronic Reservoir Computing
Online Learning with Preference Feedback
Sequential search based on kriging: convergence analysis of some algorithms
No Free Lunch versus Occams Razor in Supervised Learning
Computing a Nonnegative Matrix Factorization -- Provably
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Regret Bound by Variation for Online Convex Optimization
Robust Interactive Learning
