Feature selection for pairwise scoring kernels with applications to protein subcellular localization

Keyphrases

• Protein Subcellular Localization 100%
• Vector Index 100%
• Feature Selection 100%
• Optimized SVM 100%
• Divergence 33%
• Support Vector 33%
• Set Size 33%
• Scoring Matrix 33%
• Prediction Accuracy 16%
• Filter Method 16%
• Training Time 16%
• Fixed-length 16%
• Feature Vector 16%
• Feature-based 16%
• Selection Mechanism 16%
• Feature Selection Methods 16%
• Training Sample Size 16%
• Curse of Dimensionality 16%
• Pairwise Approach 16%
• Small Features 16%
• Selected Features 16%
• Pairwise Alignment 16%
• Recognition Time 16%
• Weeds 16%
• Feature Subset 16%
• SVM-RFE 16%
• Compact Features 16%
• Irrelevant Features 16%
• Variable-length Sequences 16%
• R-SVM 16%
• Divergence Index 16%
• Biological Sequence Classification 16%
• Column Vectors 16%

Computer Science

• Feature Selection 100%
• Support Vector Machine 100%
• Feature Extraction 100%
• Support Vector 22%
• Scoring Matrix 22%
• Prediction Accuracy 11%
• Sequence Classification 11%
• Biological Sequence 11%
• Filter Based Method 11%
• Feature Vector 11%
• Variable Length 11%

Biochemistry, Genetics and Molecular Biology

• Subcellular Localization 100%
• Feature Extraction 100%
• Support Vector Machine 66%