Opening the black box: Revealing interpretable sequence motifs in kernel-based learning algorithms

Mathematics

• Learning Algorithm 100%
• Black Box 96%
• kernel 57%
• Handwritten Digit Recognition 32%
• Kernel Machines 27%
• Computational Biology 21%
• Support Vector Machine 21%
• Probabilistic Approach 21%
• Synthetic Data 20%
• Probabilistic Model 19%
• Efficacy 17%
• Global Optimization 17%
• Predictors 15%
• Human 15%
• Strings 14%
• Prediction 13%
• Experiment 12%
• Output 12%
• Context 10%
• Series 10%
• Demonstrate 10%
• Framework 9%

Engineering & Materials Science

• Learning algorithms 70%
• Global optimization 29%
• Statistical Models 25%
• Support vector machines 22%
• Experiments 10%