Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis

Computer Science

• Feature Selection 100%
• Bayesian Learning 33%
• Simulation Mode 33%
• Classification Problem 33%
• Bayesian Classifier 16%
• Multiclass Classification 16%
• Vectors 16%
• Selection Method 16%
• Model Prediction 16%
• Predictive Performance 16%
• Diagnosis 16%
• Microarray Data 16%
• Algorithms 16%
• Diagnose Problem 16%
• Learning Method 16%
• Support Vector Machine 16%
• Classification 16%
• Least Squares Methods 16%
• Input Dimension 16%
• Small Sample Size 16%

Biochemistry, Genetics and Molecular Biology

• Classification 50%
• Bayesian Learning 33%
• Microarray 16%
• Life 16%
• Spectrum 16%
• Sample Size 16%
• Nuclear Magnetic Resonance Spectroscopy 16%
• Relevance Vector Machine 16%