Stat-Ml
Canonical Trends: Detecting Trend Setters in Web Data
Output Space Search for Structured Prediction
Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates
Feature Selection in Conditional Random Fields for Map Matching of GPS Trajectories
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Efficient Multi-Start Strategies for Local Search Algorithms
Insights from the Wikipedia Contest (IEEE Contest for Data Mining 2011)
Recklessly Approximate Sparse Coding
Nonparametric Edge Detection in Speckled Imagery
A Greedy, Flexible Algorithm to Learn an Optimal Bayesian Network Structure
Information Forests
Cramer Rao-Type Bounds for Sparse Bayesian Learning
Semi-supervised Learning with Density Based Distances
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks
Clustering hidden Markov models with variational HEM
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis
Bayesian learning of noisy Markov decision processes
Justice blocks and predictability of US Supreme Court votes
Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization
Predicting human preferences using the block structure of complex social networks
Active Collaborative Filtering
