Cs-Lg
Asymptotic Model Selection for Naive Bayesian Networks
Automatic Detection of Diabetes Diagnosis using Feature Weighted Support Vector Machines based on Mutual Information and Modified Cuckoo Search
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Causal discovery of linear acyclic models with arbitrary distributions
Classification Tree Diagrams in Health Informatics Applications
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval
Complex Question Answering: Unsupervised Learning Approaches and Experiments
Constrained variable clustering and the best basis problem in functional data analysis
Content Modeling Using Latent Permutations
Continuous Inverse Optimal Control with Locally Optimal Examples
Controlling Complexity in Part-of-Speech Induction
Convergence Rates for Differentially Private Statistical Estimation
Cross Language Text Classification via Subspace Co-Regularized Multi-View Learning
Decayed MCMC Filtering
Designing generalisation evaluation function through human-machine dialogue
Diagnosing client faults using SVM-based intelligent inference from TCP packet traces
Discriminative Probabilistic Models for Relational Data
Efficient Gradient Estimation for Motor Control Learning
Efficient Machine Learning for Big Data: A Review
Efficient Markov Network Structure Discovery Using Independence Tests
Efficient Probabilistic Inference with Partial Ranking Queries
