Titlebook: Change of Representation and Inductive Bias; D. Paul Benjamin Book 1990 Kluwer Academic Publishers 1990 autonomous system.hierarchical pla

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Efficient Candidate Elimination Through Test Incorporation,g as output. One language bias is stronger (weaker) than another if the hypothesis space of the first bias is a subset (superset) of the hypothesis space of the second bias. For example, a system that always produces a conjunctive hypothesis has a stronger language bias than a system that can produc

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Comparing Instance-Averaging with Instance-Saving Learning Algorithms,is paper concerns two methods for reducing storage requirements for instance-based learning algorithms. The first method, termed instance-saving, represents concept descriptions by selecting and storing a representative subset of the given training instances. We provide an analysis for instance-savi

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A Logical Model of Machine Learning a Study of Vague Predicates,g objects; we formally account for the context sensitivity of recognition observed by W. Labov. We show how multiple theories of “cup” can be combined in a new theory of that concept. Finally, we conjecture that operationality in explanation based learning is related to the cost of abduction..The lo

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Declarative Bias: An Overview,e role of knowledge that the system itself possesses in generating and selecting among inductive hypotheses. Inductive learning has often been characterized as a search in a hypothesis space for hypotheses consistent with observations. It is shown that committing to a given hypothesis space is equiv

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