An inductive logic programming approach to statistical relational learning:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam ; Washington, D.C.
IOS Press
2006
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Schriftenreihe: | Frontiers in artificial intelligence and applications
v. 148 Frontiers in artificial intelligence and applications |
Schlagworte: | |
Beschreibung: | Print version record |
Beschreibung: | 1 online resource (xxii, 228 pages) illustrations |
ISBN: | 1586036742 9781586036744 9781429455275 1429455276 1433701243 9781433701245 9781607502074 1607502070 |
Internformat
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100 | 1 | |a Kersting, Kristian |e Verfasser |4 aut | |
245 | 1 | 0 | |a An inductive logic programming approach to statistical relational learning |c Kristian Kersting |
264 | 1 | |a Amsterdam ; Washington, D.C. |b IOS Press |c 2006 | |
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Datensatz im Suchindex
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any_adam_object | |
author | Kersting, Kristian |
author_facet | Kersting, Kristian |
author_role | aut |
author_sort | Kersting, Kristian |
author_variant | k k kk |
building | Verbundindex |
bvnumber | BV045342566 |
collection | ZDB-4-ENC |
contents | 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 |
ctrlnum | (ZDB-4-ENC)ocn228146682 (OCoLC)228146682 (DE-599)BVBBV045342566 |
dewey-full | 005.1/15 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.1/15 |
dewey-search | 005.1/15 |
dewey-sort | 15.1 215 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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spelling | Kersting, Kristian Verfasser aut An inductive logic programming approach to statistical relational learning Kristian Kersting Amsterdam ; Washington, D.C. IOS Press 2006 1 online resource (xxii, 228 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Frontiers in artificial intelligence and applications v. 148 Frontiers in artificial intelligence and applications Print version record 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 COMPUTERS / Programming / Open Source bisacsh COMPUTERS / Software Development & Engineering / Tools bisacsh COMPUTERS / Software Development & Engineering / General bisacsh Logic programming fast Machine learning fast Markov processes fast Uncertainty (Information theory) fast Logic programming Uncertainty (Information theory) Machine learning Markov processes Induktive logische Programmierung (DE-588)4807625-9 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Künstliche Intelligenz (DE-588)4033447-8 s 2\p DE-604 Induktive logische Programmierung (DE-588)4807625-9 s 3\p DE-604 Erscheint auch als Druck-Ausgabe Kersting, Kristian Inductive logic programming approach to statistical relational learning Amsterdam ; Washington, D.C. : IOS Press, 2006 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Kersting, Kristian An inductive logic programming approach to statistical relational learning 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 COMPUTERS / Programming / Open Source bisacsh COMPUTERS / Software Development & Engineering / Tools bisacsh COMPUTERS / Software Development & Engineering / General bisacsh Logic programming fast Machine learning fast Markov processes fast Uncertainty (Information theory) fast Logic programming Uncertainty (Information theory) Machine learning Markov processes Induktive logische Programmierung (DE-588)4807625-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
subject_GND | (DE-588)4807625-9 (DE-588)4033447-8 (DE-588)4113937-9 |
title | An inductive logic programming approach to statistical relational learning |
title_auth | An inductive logic programming approach to statistical relational learning |
title_exact_search | An inductive logic programming approach to statistical relational learning |
title_full | An inductive logic programming approach to statistical relational learning Kristian Kersting |
title_fullStr | An inductive logic programming approach to statistical relational learning Kristian Kersting |
title_full_unstemmed | An inductive logic programming approach to statistical relational learning Kristian Kersting |
title_short | An inductive logic programming approach to statistical relational learning |
title_sort | an inductive logic programming approach to statistical relational learning |
topic | COMPUTERS / Programming / Open Source bisacsh COMPUTERS / Software Development & Engineering / Tools bisacsh COMPUTERS / Software Development & Engineering / General bisacsh Logic programming fast Machine learning fast Markov processes fast Uncertainty (Information theory) fast Logic programming Uncertainty (Information theory) Machine learning Markov processes Induktive logische Programmierung (DE-588)4807625-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
topic_facet | COMPUTERS / Programming / Open Source COMPUTERS / Software Development & Engineering / Tools COMPUTERS / Software Development & Engineering / General Logic programming Machine learning Markov processes Uncertainty (Information theory) Logic programming Uncertainty (Information theory) Machine learning Markov processes Induktive logische Programmierung Künstliche Intelligenz Hochschulschrift |
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