Titlebook: Learning from Good and Bad Data; Philip D. Laird Book 1988 Kluwer Academic Publishers 1988 algorithms.behavior.classification.inductive bi

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ConclusionsLet us summarize briefly the results presented in this dissertation, with an emphasis on how they related to one another. The model of the identification problem introduced in Chapter One has been used throughout, with variations in the nature of the presentation and criteria for convergence.

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How to Work With Refinementsnts in more sophisticated ways. The paradigmatic situation is that we are faced with constructing an identification program on an unfamiliar domain. Armed with the ideas of the previous chapter, we should

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https://doi.org/10.1007/978-1-4613-1685-5algorithms; behavior; classification; inductive bias; learning

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