M2ICAL: A Tool for Analyzing Imperfect Comparison Algorithms

Abstract

Practical optimization problems often have objective functions that cannot be easily calculated. As a result, comparison-based algorithms that solve such problems use comparison functions that are imperfect (i.e. they may make errors). Machine learning algorithms that search for game-playing programs are typically imperfect comparison algorithms. This paper… (More)
DOI: 10.1109/ICTAI.2007.78

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