Cs-Lg
Using Program Synthesis for Social Recommendations
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Local Water Diffusion Phenomenon Clustering From High Angular Resolution Diffusion Imaging (HARDI)
Predictive State Representations: A New Theory for Modeling Dynamical Systems
Adaptive Shortest-Path Routing under Unknown and Stochastically Varying Link States
Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
Automorphism Groups of Graphical Models and Lifted Variational Inference
Improving Persian Document Classification Using Semantic Relations between Words
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Decentralized, Adaptive, Look-Ahead Particle Filtering
Sequence Transduction with Recurrent Neural Networks
Machine learning approach for text and document mining
Sparse group lasso and high dimensional multinomial classification
Online Structured Prediction via Coactive Learning
PID Parameters Optimization by Using Genetic Algorithm
Distributed GraphLab: A Framework for Machine Learning in the Cloud
Bayesian Inference in Monte-Carlo Tree Search
Evolving Culture vs Local Minima
Bayesian Model Averaging Using the k-best Bayesian Network Structures
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
