Local causal and markov blanket induction for causal discovery and feature selection for classification part II: Analysis and extensions

Mathematics

• Feature Selection 100%
• Proof by induction 73%
• Learning 47%
• Learning Algorithm 26%
• Local Algorithms 21%
• Learning Strategies 12%
• Sample Size 11%
• Rate Control 10%
• Divide and conquer 9%
• False Discovery Rate 9%
• Control Strategy 8%
• Framework 8%
• Deviation 6%
• Heuristics 6%
• Optimality 6%
• Open Problems 5%
• Testing 5%
• Path 5%
• Concepts 3%
• Graph in graph theory 3%

Engineering & Materials Science

• Feature extraction 57%
• Learning algorithms 37%
• Testing 7%