## Machine Learning, ECML- ...: ProceedingsSpringer, 2004 - Induction (Logic) |

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### Contents

Invited Papers | 1 |

RealWorld Learning with Markov Logic Networks | 17 |

Applying Support Vector Machines to Imbalanced Datasets | 39 |

Copyright | |

25 other sections not shown

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### Common terms and phrases

accuracy action agent algorithm analysis answer applied approach approximation attributes average better classification clusters combination common compared complexity compute concept conditional Conference considered covered dataset decision trees defined denotes depends described distance distribution domain effect equation error estimate evaluation examples experiments extraction Figure filter function given graph improve increase induced input instances International Italy iteration kernel labels linear Machine Learning matrix means measure messages method naive Bayes negative node Note obtained operator optimal pairs parameters performance positive possible prediction present probability problem Proceedings proposed random ranking reduced References regression representation represents requires respectively reward rule sample selection shown similar space standard statistics step Table task tree variables vector weighted