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    Book

    Learning from Good and Bad Data

    Philip D. Laird in The Kluwer International Series in Engineering and Computer Sciences (1988)

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    Chapter

    Identification by Refinement

    We have seen that many identification procedures work by choosing a hypothesis and then generalizing or specializing it in response to counterexamples. We shall now formalize this idea. The key concept is that...

    Philip D. Laird in Learning from Good and Bad Data (1988)

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    Chapter

    Probabilistic Approximate Identification

    In this chapter and the next, we shall adopt a different model of identification in order to focus on two of the weaknesses of the preceding theory: the lack of robustness, and the lack of a complexity measure.

    Philip D. Laird in Learning from Good and Bad Data (1988)

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    Chapter

    Conclusions

    Let 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 through...

    Philip D. Laird in Learning from Good and Bad Data (1988)

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    Chapter

    The Identification Problem

    This chapter introduces the identification problem and reviews some of the ways it has been studied in the literature. We offer a formal definition for the identification problem and present a familiar, but fu...

    Philip D. Laird in Learning from Good and Bad Data (1988)

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    Chapter

    How to Work With Refinements

    Having presented the fundamental concepts and some elementary algorithms for identification using refinements, we now need to know how to use refinements in more sophisticated ways. The paradigmatic situation ...

    Philip D. Laird in Learning from Good and Bad Data (1988)

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    Chapter

    Identification from Noisy Examples

    When some of the training examples may be incorrect, none of the foregoing identification strategies are effective:

  8. With algorithms based on identification by enumeration (...

    9. Philip D. Laird in Learning from Good and Bad Data (1988)