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Titlebook: Inductive Logic Programming; 27th International C Nicolas Lachiche,Christel Vrain Conference proceedings 2018 Springer International Publis

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書目名稱Inductive Logic Programming
副標(biāo)題27th International C
編輯Nicolas Lachiche,Christel Vrain
視頻videohttp://file.papertrans.cn/464/463910/463910.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Inductive Logic Programming; 27th International C Nicolas Lachiche,Christel Vrain Conference proceedings 2018 Springer International Publis
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017.. The 12 full papers presented were carefully reviewed and selected from numerous submissions.. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; computer programming; data mining; image processing; inductive logic programmin
版次1
doihttps://doi.org/10.1007/978-3-319-78090-0
isbn_softcover978-3-319-78089-4
isbn_ebook978-3-319-78090-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Parallel Inductive Logic Programming System for Superlinear Speedup,ures of our ILP learning system and parallel mechanism. The redesigned ILP learning system searches and gathers all rules that have the same evaluation. The redesigned parallel mechanism adds a communication protocol for sharing the evaluation of the identified rules, thereby realizing superlinear speedup.
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https://doi.org/10.1007/978-3-319-78090-0artificial intelligence; computer programming; data mining; image processing; inductive logic programmin
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978-3-319-78089-4Springer International Publishing AG, part of Springer Nature 2018
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Inductive Logic Programming978-3-319-78090-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Laura Antanas,Anton Dries,Plinio Moreno,Luc De Raedts. When you post a message to an Internet bulletin board—even if you use an alias—it can be traced to your computer because IP addresses are usually logged. Your outbound e-mail is stored locally on your PC and remotely on other people’s computers and on mail servers, and may well be recorded for po
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