Biased learning system

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395 60, G06F 300

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active

056279450

ABSTRACT:
The invention permits various types of background knowledge for a concept learning system to be represented in a single formal structure known as an antecedent description grammar. A user formulates background knowledge for a learning problem into such a grammar, which then becomes an input to a learning system, together with training data representing the concept to be learned. The learning system, constrained by the grammar, then uses the training data to generate a hypothesis for the concept to be learned. Such hypothesis is in the form of a set of logic clauses known as Horn clauses.

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Quinlan, Knowledge accquisition from structured data, IEEE Expert vol. 6, pp. 32-37 Dec. 1991.

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