Tsu-Ying Chu

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Learning belief networks from a large dataset over a large domain can be computationally expensive even with a single-link lookahead search. It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multi-link lookahead search is used, the(More)
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