Some General Principles for the Dual Problem to Statistical Classification.
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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We consider the design of decision problems which maximize the classification error for a given set of discriminants. A minimax principle is proved, which has applications in discriminant analysis and feature extraction. Author
- Statistics and Probability