Inductive logic programming : 13th international conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003 : proceedings
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| Yhteisötekijä: | |
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| Muut tekijät: | , |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Sarja: | Lecture notes in computer science. Lecture notes in artificial intelligence
2835 |
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| Linkit: | 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, 13th international conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003, proceedings, Tamás Horváth, Akihiro Yamamoto (eds.), Berlin, Springer, 2003, 1 vol. (X-400 p.), Lecture notes in computer science, 3-540-20144-0 • Inductive Logic Programming, Texte imprimé, 9783662186466 |
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| 020 | |a 9783540399179 (PDF) | ||
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| 111 | 2 | |a Inductive Logic Programming |n (13th |c :Szeged, Hungary). | |
| 245 | 1 | 0 | |a Inductive logic programming : |b 13th international conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003 : proceedings |c [edited by] Tamás Horváth, Akihiro Yamamoto. |
| 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 2835 |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 Papers -- A Personal View of How Best to Apply ILP -- Agents that Reason and Learn -- Research Papers -- Mining Model Trees: A Multi-relational Approach -- Complexity Parameters for First-Order Classes -- A Multi-relational Decision Tree Learning Algorithm Implementation and Experiments -- Applying Theory Revision to the Design of Distributed Databases -- Disjunctive Learning with a Soft-Clustering Method -- ILP for Mathematical Discovery -- An Exhaustive Matching Procedure for the Improvement of Learning Efficiency -- Efficient Data Structures for Inductive Logic Programming -- Graph Kernels and Gaussian Processes for Relational Reinforcement Learning -- On Condensation of a Clause -- A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting -- Comparative Evaluation of Approaches to Propositionalization -- Ideal Refinement of Descriptions in -Log -- Which First-Order Logic Clauses Can Be Learned Using Genetic Algorithms? -- Improved Distances for Structured Data -- Induction of Enzyme Classes from Biological Databases -- Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars -- Induction of the Effects of Actions by Monotonic Methods -- Hybrid Abductive Inductive Learning: A Generalisation of Progol -- Query Optimization in Inductive Logic Programming by Reordering Literals -- Efficient Learning of Unlabeled Term Trees with Contractible Variables from Positive Data -- Relational IBL in Music with a New Structural Similarity Measure -- An Effective Grammar-Based Compression Algorithm for Tree Structured Data. | |
| 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 Logique symbolique et mathématique | ||
| 650 | |a Induction (logique) | ||
| 650 | |a Programmation logique | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Yamamoto, Akihiro. |4 pbd | |
| 700 | 1 | |a Horváth, Tamás. |4 pbd | |
| 776 | 0 | |0 074532456 |t Inductive logic programming |o 13th international conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003 |o proceedings |f Tamás Horváth, Akihiro Yamamoto (eds.) |c Berlin |n Springer |d 2003 |p 1 vol. (X-400 p.) |s Lecture notes in computer science |z 3-540-20144-0 | |
| 776 | 0 | |t Inductive Logic Programming |b Texte imprimé |z 9783662186466 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/b13700 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-SC0HNM4N-S |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748055053 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/b13700 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751506338 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/b13700 |z Accès INSA CVL | |
| 997 | |0 948691 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||