Splice site prediction using support vector machines with a Bayes kernel

Keyphrases

• Support Vector Machine 100%
• Bayes 100%
• Splice Site 100%
• DNA Sequencing 66%
• Computational Modeling 33%
• Classification Accuracy 33%
• Machine Learning Techniques 33%
• Computation Time 33%
• Prediction Method 33%
• Feature Space 33%
• Feature Mapping 33%
• Solution Quality 33%
• Classification Results 33%
• Naïve Bayes Classifier 33%
• Computational Speed 33%
• Polynomial Kernel 33%

Computer Science

• Support Vector Machine 100%
• Support Vector Machine 50%
• Machine Learning 50%
• Computational Modeling 50%
• Feature Mapping 50%
• Computation Time 50%
• classification result 50%
• Feature Space 50%
• Solution Quality 50%
• Classification Accuracy 50%
• Bayes Classifier 50%