Stat-Ml
Structured Priors for Structure Learning
Perturbation of the Eigenvectors of the Graph Laplacian: Application to Image Denoising
OpenGM: A C++ Library for Discrete Graphical Models
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization
A Model-Based Approach to Rounding in Spectral Clustering
Compiling Relational Database Schemata into Probabilistic Graphical Models
Learning Invariant Representations with Local Transformations
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
