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检索条件"主题词=inductive Logic Programming"
525 条 记 录,以下是421-430 订阅
Relational learning vs. propositionalization - Investigations in inductive logic programming and propositional machine learning
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AI COMMUNICATIONS 2000年 第4期13卷 275-276页
作者: Kramer, S Austrian Res Inst Artificial Intelligence A-1010 Vienna Austria
An attempt is made to determine how machine learning benefit from using a richer and more expressive representation. The approach taken is to compare the performance of a so-called upgrade of a propositional algorithm... 详细信息
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Experimental evaluation of a caching technique for ILP
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003年 2902卷 151-155页
作者: Fonseca, Nuno Costa, Vitor Santos Silva, Fernando Camacho, Rui DCC-FC LIACC Universidade do Porto R. do Campo Alegre 823 4150-180 Porto Portugal COPPE/Sistemas Universidade Federal do Rio de Janeiro Centro de Tecnologia Bloco H-319 Cx. Postal 68511 Rio de Janeiro Brazil Faculdade de Engenharia LIACC Universidade do Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal
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inductive logic programming for relational knowledge discovery
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NEW GENERATION COMPUTING 1999年 第1期17卷 3-23页
作者: Lavrac, N Dzeroski, S Numao, M Jozef Stefan Inst Ljubljana 1000 Slovenia Tokyo Inst Technol Meguro Ku Tokyo 152 Japan
inductive logic programming (ILP) is concerned with the induction of logic programs from examples and background knowledge. In ILP, the shift of attention from program synthesis to knowledge discovery resulted in adva... 详细信息
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inductive logic programming: Issues, results and the challenge of learning language in logic
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ARTIFICIAL INTELLIGENCE 1999年 第1-2期114卷 283-296页
作者: Muggleton, S Univ York Dept Comp Sci York YO1 5DD N Yorkshire England
inductive logic programming (ILP) is the area of AI which deals with the induction of hypothesised predicate definitions from examples and background knowledge. logic programs are used as a single representation for e... 详细信息
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Cautious induction: An alternative to clause-at-a-time hypothesis construction in inductive logic programming
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NEW GENERATION COMPUTING 1999年 第1期17卷 25-52页
作者: Anthony, S Frisch, AM Univ York Dept Comp Sci Intelligent Syst Grp York YO10 5DD N Yorkshire England
Hypotheses constructed by inductive logic programming (ILP) systems are finite sets of definite clauses. Top-down ILP systems usually adopt the following greedy clause-at-a-time strategy to construct such a hypothesis... 详细信息
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Toward Effective Knowledge Acquisition with First—Order logic Induction
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Journal of Computer Science & Technology 2002年 第5期17卷 565-577页
作者: 张晓龙 Masyuki Numao IT Solution Delivery AXA Life Insurance Company Tokyo 194-0022 Japan Department of Computer Science Tokyo Institute of Technology Tokyo 152-8552 Japan
Knowledge acquisition with machine learning techniques is a fundamental re-quirement for knowledge discovery from databases and data mining systems. Two techniquesin particular - inductive learning and theory revision... 详细信息
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Learning closed Horn expressions
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INFORMATION AND COMPUTATION 2002年 第1期178卷 214-240页
作者: Arias, M Khardon, R Tufts Univ Medford MA 02155 USA
The paper studies the learnability of Horn expressions within the framework of learning from entailment, where the goal is to exactly identify some pre-fixed and unknown expression by making queries to membership and ... 详细信息
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Revising the logical foundations of inductive logic programming systems with ground reduced programs
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NEW GENERATION COMPUTING 1999年 第1期17卷 119-127页
作者: Yamamoto, A Hokkaido Univ Div Elect & Informat Engn Kita Ku Sapporo Hokkaido 0608628 Japan Hokkaido Univ Meme Media Lab Kita Ku Sapporo Hokkaido 0608628 Japan
In this paper we revise Muggleton's theory of inverse entailment, which is the logical foundation of Progol, one of the most famous ILP systems. We first point out that the theory is incomplete in general. Secondl... 详细信息
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Clustering and instance based learning in first order logic
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AI COMMUNICATIONS 2002年 第4期15卷 217-218页
作者: Ramon, J Katholieke Univ Leuven Dept Comp Sci B-3001 Heverlee Belgium
Instance based learning and clustering are popular methods in propositional machine learning. Both methods use a notion of similarity between objects. This dissertation investigates these methods in a relational setti... 详细信息
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On the complexity of some inductive logic programming problems
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NEW GENERATION COMPUTING 1999年 第1期17卷 53-75页
作者: Gottlob, G Leone, N Scarcello, F Vienna Univ Technol Inst Informat Syst A-1040 Vienna Austria Univ Calabria ISI CNR DEIS I-87036 Arcavacata Di Rende CS Italy
The bounded ILP-consistency problem for function-free Horn clauses is described as follows. Given a set E+ and E- of function-free ground Horn clauses and an integer I;polynomial in E+ boolean OR E-, does there exist ... 详细信息
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