Cs-Lg
Algorithms and Complexity Results for Exact Bayesian Structure Learning
Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem
Survey on Sparse Coded Features for Content Based Face Image Retrieval
Maintaining prediction quality under the condition of a growing knowledge space
Improved Twitter Sentiment Prediction through Cluster-then-Predict Model
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Mean-Field Learning: a Survey
Diffusion Adaptation over Networks
Nonparametric Bayes Pachinko Allocation
Adaptive Context Tree Weighting
A New Approach to Speeding Up Topic Modeling
Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach
Explosion prediction of oil gas using SVM and Logistic Regression
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
A History of Cluster Analysis Using the Classification Societys Bibliography Over Four Decades
Efficient Point-to-Subspace Query in $ell^1$ with Application to Robust Object Instance Recognition
Multidimensional counting grids: Inferring word order from disordered bags of words
Revisiting the Training of Logic Models of Protein Signaling Networks with a Formal Approach based on Answer Set Programming
Language-Constraint Reachability Learning in Probabilistic Graphs
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion
Applying Deep Belief Networks to Word Sense Disambiguation
Local Structure Discovery in Bayesian Networks
