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Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings - Couverture souple
Synopsis
The 11th international conference on Inductive Logic Programming, ILP2001, was held in Strasbourg, France, September 9-11, 2001. ILP2001 was co-located withthe3rdinternationalworkshoponLogic, Learning, andLanguage(LLL2001), and nearly co-located with the joint 12th European Conference on Machine Learning (ECML2001) and 5th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2001). Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP2001 is the central annual event for researchersinterestedinlearningstructuredknowledgefromstructuredexamples and background knowledge. One recent one major challenge for ILP has been to contribute to the ex- nentialemergenceofDataMining, andtoaddressthehandlingofmulti-relational databases. On the one hand, ILP has developed a body of theoretical results and algorithmicstrategiesforexploringrelationaldata, essentiallybutnotexclusively from a supervised learning viewpoint. These results are directly relevant to an e?cient exploration of multi-relational databases. Ontheotherhand, DataMiningmightrequirespeci?crelationalstrategiesto be developed, especially with regard to the scalability issue. The near-colocation of ILP2001 with ECML2001-PKDD2001 was an incentive to increase cro- fertilization between the ILP relational savoir-faire and the new problems and learning goals addressed and to be addressed in Data Mining. Thirty-seven papers were submitted to ILP, among which twenty-one were selected and appear in these proceedings. Several - non-disjoint - trends can be observed, along an admittedly subjective clustering. On the theoretical side, a new mode of inference is proposed by K. Inoue, analog to the open-ended mode of Bayesian reasoning (where the frontier - tween induction and abduction wanes). New learning re?nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings.
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- ÉditeurSpringer
- Date d'édition2008
- ISBN 10 3540425381
- ISBN 13 9783540425380
- ReliureBroché
- Langueanglais
- Nombre de pages272
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Inductive Logic Programming
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A Refinement Operator for Theories.- Learning Logic Programs with Neural Networks.- A Genetic Algorithm for Propositionalization.- Classifying Uncovered Examples by Rule Stretching.- Relational Learning Using Constrained Confidence-Rated Boosting.- Inductio. N° de réf. du vendeur 4889908
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Inductive Logic Programming : 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings
Edité par
Springer Berlin Heidelberg, 2001
ISBN 10 : 3540425381
ISBN 13 : 9783540425380
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The 11th international conference on Inductive Logic Programming, ILP2001, was held in Strasbourg, France, September 9 11, 2001. ILP2001 was co-located withthe3rdinternationalworkshoponLogic,Learning,andLanguage(LLL2001), and nearly co-located with the joint 12th European Conference on Machine Learning (ECML2001) and 5th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2001). Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP2001 is the central annual event for researchersinterestedinlearningstructuredknowledgefromstructuredexamples and background knowledge. One recent one major challenge for ILP has been to contribute to the ex- nentialemergenceofDataMining,andtoaddressthehandlingofmulti-relational databases. On the one hand, ILP has developed a body of theoretical results and algorithmicstrategiesforexploringrelationaldata,essentiallybutnotexclusiv ely from a supervised learning viewpoint. These results are directly relevant to an e cient exploration of multi-relational databases. Ontheotherhand,DataMiningmightrequirespeci crelationalstrategiesto be developed, especially with regard to the scalability issue. The near-colocation of ILP2001 with ECML2001-PKDD2001 was an incentive to increase cro- fertilization between the ILP relational savoir-faire and the new problems and learning goals addressed and to be addressed in Data Mining. Thirty-seven papers were submitted to ILP, among which twenty-one were selected and appear in these proceedings. Several non-disjoint trends can be observed, along an admittedly subjective clustering. On the theoretical side, a new mode of inference is proposed by K. Inoue, analog to the open-ended mode of Bayesian reasoning (where the frontier - tween induction and abduction wanes). New learning re nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings. N° de réf. du vendeur 9783540425380
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Inductive Logic Programming
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Springer Berlin Heidelberg Aug 2001, 2001
ISBN 10 : 3540425381
ISBN 13 : 9783540425380
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The 11th international conference on Inductive Logic Programming, ILP2001, was held in Strasbourg, France, September 9 11, 2001. ILP2001 was co-located withthe3rdinternationalworkshoponLogic,Learning,andLanguage(LLL2001), and nearly co-located with the joint 12th European Conference on Machine Learning (ECML2001) and 5th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2001). Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP2001 is the central annual event for researchersinterestedinlearningstructuredknowledgefromstructuredexamples and background knowledge. One recent one major challenge for ILP has been to contribute to the ex- nentialemergenceofDataMining,andtoaddressthehandlingofmulti-relational databases. On the one hand, ILP has developed a body of theoretical results and algorithmicstrategiesforexploringrelationaldata,essentiallybutnotexclusively from a supervised learning viewpoint. These results are directly relevant to an e cient exploration of multi-relational databases. Ontheotherhand,DataMiningmightrequirespeci crelationalstrategiesto be developed, especially with regard to the scalability issue. The near-colocation of ILP2001 with ECML2001-PKDD2001 was an incentive to increase cro- fertilization between the ILP relational savoir-faire and the new problems and learning goals addressed and to be addressed in Data Mining. Thirty-seven papers were submitted to ILP, among which twenty-one were selected and appear in these proceedings. Several non-disjoint trends can be observed, along an admittedly subjective clustering. On the theoretical side, a new mode of inference is proposed by K. Inoue, analog to the open-ended mode of Bayesian reasoning (where the frontier - tween induction and abduction wanes). New learning re nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings. 276 pp. Englisch. N° de réf. du vendeur 9783540425380
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Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings (Lecture Notes in Computer Science, 2157)
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Inductive Logic Programming
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Taschenbuch. Etat : Neu. Neuware -(where the frontier - tween induction and abduction wanes). New learning re nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings. 276 pp. Englisch. N° de réf. du vendeur 9783540425380
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Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings (Lecture Notes in Computer . / Lecture Notes in Artificial Intelligence)
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