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Taschenbuch. Zustand: 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,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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Zustand: New. Unique visibilityState-of-the-art surveyFast-track conference proceedingsRegular Papers.- Bayesian Knowledge Corroboration with Logical Rules and User Feedback.- Learning an Affine Transformation for Non-linear Dimensionality Reduct.

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Zustand: New. Unique visibilityState-of-the-art surveyFast-track conference proceedingsInvited Talks (Abstracts).- Mining Billion-Node Graphs: Patterns, Generators and Tools.- Structure Is Informative: On Mining Structured Information Networks.- .

Zustand: New. Unique visibilityState-of-the-art surveyFast-track conference proceedingsRegular Papers.- Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations.- Unsupervised Trajectory Sampling.- Fast Extraction o.

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