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Record Nr. |
UNINA9910784254203321 |
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Autore |
Kersting Kristian |
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Titolo |
An inductive logic programming approach to statistical relational learning [[electronic resource] /] / Kristian Kersting |
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Pubbl/distr/stampa |
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Amsterdam ; ; Washington, D.C., : IOS Press, c2006 |
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ISBN |
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6610704821 |
1-280-70482-9 |
9786610704828 |
1-4294-5527-6 |
1-60750-207-0 |
600-00-0341-2 |
1-4337-0124-3 |
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Descrizione fisica |
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1 online resource (256 p.) |
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Collana |
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Frontiers in artificial intelligence and applications ; ; v. 148 |
Dissertations in artificial intelligence |
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Soggetti |
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Logic programming |
Uncertainty (Information theory) |
Machine learning |
Markov processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 201-221) and index. |
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Nota di contenuto |
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Title page; Contents; Abstract; Overture; Part I: Probabilistic ILP over Interpretations; Part II: Probabilistic ILP over Time; Intermezzo: Exploiting Probabilistic ILP in Discriminative Classifiers; Part III: Making Complex Decisions in Relational Domains; Finale; Appendix; Bibliography; Symbol Index; Index |
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Sommario/riassunto |
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Talks about Logic Programming, Uncertainty Reasoning and Machine Learning. This book includes definitions that circumscribe the area formed by extending Inductive Logic Programming to cases annotated with probability values. It investigates the approach of Learning from proofs and the issue of upgrading Fisher Kernels to Relational Fisher Kernels. |
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