Inductive logic programming : 10th International Conference, ILP 2000 London, UK, July 24 27, 2000 : proceedings
Wedi'i Gadw mewn:
| Awdur Corfforaethol: | |
|---|---|
| Awduron Eraill: | , |
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture notes in computer science. Lecture notes in artificial intelligence
1866 |
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| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Inductive logic programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, proceedings, James Cussens, Alan Frisch (eds.), Berlin, Springer, 2000, 1 vol. (X-264 p.), Lecture notes in computer science, 3-540-67795-X • Inductive Logic Programming, Texte imprimé, 9783662170038 |
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| 111 | 2 | |a International conference on inductive logic programming |n (10 |d :2000 |c :Londres). | |
| 245 | 1 | 0 | |a Inductive logic programming : |b 10th International Conference, ILP 2000 London, UK, July 24 27, 2000 : proceedings |c [edited by] James Cussens, Alan Frisch. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 1866 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Invited Paper -- ILP: Just Do It -- Contributed Papers -- A New Algorithm for Learning Range Restricted Horn Expressions -- A Refinement Operator for Description Logics -- Executing Query Packs in ILP -- A Logical Database Mining Query Language -- Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions -- Extending K-Means Clustering to First-Order Representations -- Theory Completion Using Inverse Entailment -- Solving Selection Problems Using Preference Relation Based on Bayesian Learning -- Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment -- Using ILP to Improve Planning in Hierarchical Reinforcement Learning -- Towards Learning in CARIN-ALN -- Inverse Entailment in Nonmonotonic Logic Programs -- A Note on Two Simple Transformations for Improving the Efficiency of an ILP System -- Searching the Subsumption Lattice by a Genetic Algorithm -- New Conditions for the Existence of Least Generalizations under Relative Subsumption. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Ordinateurs | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Induction (logique) | ||
| 650 | |a Programmation logique | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Frisch, Alan. |4 pbd | |
| 700 | 1 | |a Cussens, James, |d 1965- |4 pbd | |
| 776 | 0 | |0 052243516 |t Inductive logic programming |o 10th International Conference, ILP 2000, London, UK, July 24-27, 2000 |o proceedings |f James Cussens, Alan Frisch (eds.) |c Berlin |n Springer |d 2000 |p 1 vol. (X-264 p.) |s Lecture notes in computer science |z 3-540-67795-X | |
| 776 | 0 | |t Inductive Logic Programming |b Texte imprimé |z 9783662170038 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-2S4919T7-8 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750600535 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/3-540-44960-4 |z Accès Université d'Orléans | |
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| 997 | |0 972251 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

