Stat-Ml
Parsimonious module inference in large networks
Bayesian Analysis for miRNA and mRNA Interactions Using Expression Data
Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
Training Support Vector Machines Using Frank-Wolfe Optimization Methods
Better subset regression
Expectation-Propogation for the Generative Aspect Model
The Interaction of Entropy-Based Discretization and Sample Size: An Empirical Study
Sparse Nonparametric Graphical Models
Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices
Sum-Product Networks: A New Deep Architecture
Temporal Autoencoding Restricted Boltzmann Machine
A metric learning perspective of SVM: on the relation of SVM and LMNN
On the Lagrangian Biduality of Sparsity Minimization Problems
Designing various component analysis at will
A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Polish -English Statistical Machine Translation of Medical Texts
Automorphism Groups of Graphical Models and Lifted Variational Inference
Environmental Sensing by Wearable Device for Indoor Activity and Location Estimation
Decentralized, Adaptive, Look-Ahead Particle Filtering
Sequence Transduction with Recurrent Neural Networks
