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Filtering by: Creator Szabo, Andrew, 1974- Advisor Tadepalli, Prasad

Learning classification rules by randomized iterative local search

Creator:

Chisholm, Michael (Michael Andrew), 1974-

Abstract:

Learning easily understandable decision rules from examples is one of the classic problems in machine learning. Most learning algorithms for this problem employ some variation of a greedy separate-and-conquer algorithm. In this paper, we describe a system called LERILS that learns highly accurate and comprehensible rules from examples using a...

Resource Type:

Masters Thesis