Feature selection for nonlinear regression and its application to cancer research

Mathematics

• Feature Selection 100%
• Nonlinear Regression 86%
• Cancer 76%
• Prediction Error 58%
• Feature Weighting 50%
• Wrapper 41%
• High Throughput 34%
• Microarray 31%
• Gradient Descent 30%
• Error function 28%
• Machine Learning 27%
• Local Minima 26%
• Community 25%
• Computational Complexity 23%
• Learning 22%
• High-dimensional 20%
• Optimization Problem 17%
• Simulation Study 17%
• Strategy 17%
• Subspace 17%
• Iteration 16%
• Range of data 15%
• Demonstrate 14%
• Framework 14%
• Model 8%

Engineering & Materials Science

• Feature extraction 57%
• Microarrays 42%
• Computational complexity 30%
• Machine learning 27%
• Throughput 25%