Cs-Lg
TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks
Analysis of a Reduced-Communication Diffusion LMS Algorithm
TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings
The AI&M Procedure for Learning from Incomplete Data
First Experiments with PowerPlay
GraphLab: A New Framework For Parallel Machine Learning
Dengue disease prediction using weka data mining tool
A metric for software vulnerabilities classification
Improving the Interpretability of Support Vector Machines-based Fuzzy Rules
Feature Selection Using Classifier in High Dimensional Data
Collaborative Filtering via Group-Structured Dictionary Learning
Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization
IDS: An Incremental Learning Algorithm for Finite Automata
Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
The Nonparametric Metadata Dependent Relational Model
Advances in exact Bayesian structure discovery in Bayesian networks
STC Anti-spoofing Systems for the ASVspoof 2015 Challenge
ICU Patient Deterioration prediction: a Data-Mining Approach
Variational Bayesian Inference with Stochastic Search
Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models
Parallel Dither and Dropout for Regularising Deep Neural Networks
