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检索条件"主题词=Inductive Logic Programming"
524 条 记 录,以下是331-340 订阅
排序:
ALLPAD: approximate learning of logic programs with annotated disjunctions
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MACHINE LEARNING 2008年 第2-3期70卷 207-223页
作者: Riguzzi, Fabrizio Univ Ferrara Dipartimento Ingn I-44100 Ferrara Italy
logic Programs with Annotated Disjunctions (LPADs) provide a simple and elegant framework for representing probabilistic knowledge in logic programming. In this paper we consider the problem of learning ground LPADs s... 详细信息
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Learning and generalising semantic knowledge from object scenes
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ROBOTICS AND AUTONOMOUS SYSTEMS 2008年 第11期56卷 891-900页
作者: D'Este, Claire Sammut, Claude Univ New S Wales ARC Ctr Excellence Autonomous Syst Sch Comp Sci & Engn Sydney NSW 2052 Australia
The robot described in this paper learns words that relate to objects and their attributes, and also learns concepts, which may be recursive, that involve relationships between several objects. Once the system is expl... 详细信息
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Structured machine learning: the next ten years
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MACHINE LEARNING 2008年 第1期73卷 3-23页
作者: Dietterich, Thomas G. Domingos, Pedro Getoor, Lise Muggleton, Stephen Tadepalli, Prasad Oregon State Univ Corvallis OR 97331 USA Univ Washington Seattle WA 98195 USA Univ Maryland College Pk MD 20742 USA Univ London Imperial Coll Sci Technol & Med London England
The field of inductive logic programming (ILP) has made steady progress, since the first ILP workshop in 1991, based on a balance of developments in theory, implementations and applications. More recently there has be... 详细信息
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Learning directed probabilistic logical models: ordering-search versus structure-search
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ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2008年 第1-3期54卷 99-133页
作者: Fierens, Daan Ramon, Jan Bruynooghe, Maurice Blockeel, Hendrik Katholieke Univ Leuven Dept Comp Sci B-3001 Louvain Belgium
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm initially proposed for Bayesian networ... 详细信息
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Sequential data mining:: A comparative case study in development of atherosclerosis risk factors
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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 2008年 第1期38卷 3-15页
作者: Klema, Jiri Novakova, Lenka Karel, Filip Stepankova, Olga Zelezny, Filip Czech Tech Univ Dept Cybernet Fac Elect Engn Prague 16627 Czech Republic Czech Tech Univ Intelligent Data Anal Res Grp Gerstner Lab Prague 16627 Czech Republic
Sequential data represent an important source of potentially new medical knowledge. However, this type of data is rarely provided in a format suitable for immediate application of conventional mining algorithms. This ... 详细信息
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Multi-Dimensional Relational Sequence Mining
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FUNDAMENTA INFORMATICAE 2008年 第1期89卷 23-43页
作者: Esposito, Floriana Di Mauro, Nicola Basile, Teresa M. A. Ferilli, Stefano Univ Bari Dipartimento Informat I-70125 Bari Italy
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern mining, such as user profiling, medici... 详细信息
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Learning relational descriptions of differentially expressed gene groups
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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 2008年 第1期38卷 16-25页
作者: Trajkovski, Igor Zelezny, Filip Lavrac, Nada Tolar, Jakub Jozef Stefan Inst Dept Knowledge Technol Ljubljana 1000 Slovenia Czech Tech Univ Gerstner Lab Intelligent Data Anal Res Grp CR-16635 Prague 6 Czech Republic Univ Nova Gorica SL-5000 Nova Gorica Slovenia Univ Minnesota Div Hematol Oncol & Blood & Marrow Transplantat Minneapolis MN 55455 USA
This paper presents a method that uses gene ontologies (GOs), together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differentially expressed in specific cancers. The ... 详细信息
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Compressing probabilistic Prolog programs
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MACHINE LEARNING 2008年 第2-3期70卷 151-168页
作者: De Raedt, L. Kersting, K. Kimmig, A. Revoredo, K. Toivonen, H. Katholieke Univ Leuven Dept Computerwetenschappen B-3001 Heverlee Belgium Univ Freiburg Inst Informat D-79100 Freiburg Germany Univ Helsinki Dept Comp Sci FIN-00014 Helsinki Finland
ProbLog is a recently introduced probabilistic extension of Prolog (De Raedt, et al. in Proceedings of the 20th international joint conference on artificial intelligence, pp. 2468-2473, 2007). A ProbLog program define... 详细信息
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Automatic inference of indexing rules for MEDLINE
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BMC BIOINFORMATICS 2008年 第s11期9卷 S11-S11页
作者: Neveol, Aurelie Shooshan, Sonya E. Claveau, Vincent Natl Lib Med Bethesda MD 20894 USA CNRS IRISA F-35042 Rennes France
Background: Indexing is a crucial step in any information retrieval system. In MEDLINE, a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in o... 详细信息
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On the connection between the phase transition of the covering test and the learning success rate in ILP
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MACHINE LEARNING 2008年 第2-3期70卷 135-150页
作者: Alphonse, Erick Osmani, Aomar Univ Paris 13 LIPN CNRS UMR 7030 Paris France
It is well-known that heuristic search in ILP is prone to plateau phenomena. An explanation can be given after the work of Giordana and Saitta: the ILP covering test is NP-complete and therefore exhibits a sharp phase... 详细信息
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