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Titlebook: Inductive Logic Programming; 15th International C Stefan Kramer,Bernhard Pfahringer Conference proceedings 2005 Springer-Verlag Berlin Heid

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书目名称Inductive Logic Programming
副标题15th International C
编辑Stefan Kramer,Bernhard Pfahringer
视频videohttp://file.papertrans.cn/464/463897/463897.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Inductive Logic Programming; 15th International C Stefan Kramer,Bernhard Pfahringer Conference proceedings 2005 Springer-Verlag Berlin Heid
描述1 “Change is inevitable.” Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-propositional learning, to once again have tutorials on exciting new areas, and, for the ?rst time, to also have a discovery challenge as a platform for collaborative work. This year the conference was co-located with ICML 2005, the 22nd Inter- tional Conference on Machine Learning, and also in close proximity to IJCAI 2005, the 19th International Joint Conference on Arti?cial Intelligence. - location can be tricky, but we greatly bene?ted from the local support provided by Codrina Lauth, Michael May, and others. We were also able to invite all ILP and ICML participants to shared events including a poster session, an invited talk, and a tutorial about the exciting new area of “statistical relational lea- ing”. Two more invited talks were exclusively given to IL
出版日期Conference proceedings 2005
关键词Bayesian network; Bayesian networks; algorithm; algorithmic learning; algorithms; classifier systems; clus
版次1
doihttps://doi.org/10.1007/11536314
isbn_softcover978-3-540-28177-1
isbn_ebook978-3-540-31851-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Automatic Induction of Abduction and Abstraction Theories from Observationstegy, that must be provided by a domain expert..This work proposes algorithms to automatically discover such an information in order to make the learning task completely autonomous. The proposed methods have been tested on the system INTHELEX, and their effectiveness has been proven by experiments in a real-world domain.
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A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generhe generation of probabilistic rules. As a first example of the benefits of our ILP framework, we propose a scheme for defining the hypothesis search space through Inverse Entailment using multiple example seeds.
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Induction of the Indirect Effects of Actions by Monotonic Methods introduce the induction of such ramification rules describing effects directly from other effects without mentioning the action. A framework based on causality in action formalisms is used to induce causal ramification rules. The method is shown sound and complete while efficient as the induction of action rules.
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0302-9743 nal Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-proposition
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