## Machine Learning and Uncertain Reasoning |

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### Contents

an exemplarbased learning | 1 |

Crawford S L Extensions to the CART algorithm | 15 |

S Lesser V R Knowledge acquisition as knowledge assimilation | 37 |

Copyright | |

23 other sections not shown

### Common terms and phrases

algorithm application approach Artificial Intelligence associated Assume attributes AUXIL auxiliary-lines Bayesian approximation belief functions belief interval classification cluster combination compatibility relation components concept conceptual graph condition consider constraints crisp decision table default rule defined Dempster-Shafer theory denote described domain employees evaluation example exemplar existing expected output expected value expert system figure-pattern strategies fireable fuzzy logic fuzzy set fuzzy set theory given heuristics inference input instance KBAM KnAc knowledge acquisition knowledge base knowledge representation machine learning systems match the expected membership function memory mental model method MP problem node non-monotonic normal observed output match obtained operation optimal performance Poss possible predicates probabilistic problem-solving procedure proposition Protos random represent rough sets selected semantic situation solution solving space structure subgoals subjects subset task theorem theory tree uncertainty variable Yager Zadeh