Statistical reinforcement learning: modern machine learning approaches
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
[2015]
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Schriftenreihe: | Chapman & Hall/CRC machine learning & pattern recognition series
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Schlagworte: | |
Beschreibung: | xiii, 192 Seiten Illustrationen, Diagramme |
ISBN: | 9781439856895 |
Internformat
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245 | 1 | 0 | |a Statistical reinforcement learning |b modern machine learning approaches |c Masashi Sugiyama, University of Tokyo, Tokyo, Japan |
264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c [2015] | |
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Datensatz im Suchindex
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any_adam_object | |
author | Sugiyama, Masashi 1974- |
author_GND | (DE-588)1077760604 |
author_facet | Sugiyama, Masashi 1974- |
author_role | aut |
author_sort | Sugiyama, Masashi 1974- |
author_variant | m s ms |
building | Verbundindex |
bvnumber | BV043020485 |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)935214743 (DE-599)BVBBV043020485 |
discipline | Informatik |
format | Book |
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id | DE-604.BV043020485 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:15:13Z |
institution | BVB |
isbn | 9781439856895 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028445361 |
oclc_num | 935214743 |
open_access_boolean | |
owner | DE-384 DE-523 DE-29T DE-573 |
owner_facet | DE-384 DE-523 DE-29T DE-573 |
physical | xiii, 192 Seiten Illustrationen, Diagramme |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | CRC Press, Taylor & Francis Group |
record_format | marc |
series2 | Chapman & Hall/CRC machine learning & pattern recognition series |
spelling | Sugiyama, Masashi 1974- Verfasser (DE-588)1077760604 aut Statistical reinforcement learning modern machine learning approaches Masashi Sugiyama, University of Tokyo, Tokyo, Japan Boca Raton ; London ; New York CRC Press, Taylor & Francis Group [2015] © 2015 xiii, 192 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC machine learning & pattern recognition series Mathematisches Modell Reinforcement learning Machine learning Mathematical models Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd rswk-swf Operante Konditionierung (DE-588)4172613-3 gnd rswk-swf Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 s DE-604 Operante Konditionierung (DE-588)4172613-3 s |
spellingShingle | Sugiyama, Masashi 1974- Statistical reinforcement learning modern machine learning approaches Mathematisches Modell Reinforcement learning Machine learning Mathematical models Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd Operante Konditionierung (DE-588)4172613-3 gnd |
subject_GND | (DE-588)4825546-4 (DE-588)4172613-3 |
title | Statistical reinforcement learning modern machine learning approaches |
title_auth | Statistical reinforcement learning modern machine learning approaches |
title_exact_search | Statistical reinforcement learning modern machine learning approaches |
title_full | Statistical reinforcement learning modern machine learning approaches Masashi Sugiyama, University of Tokyo, Tokyo, Japan |
title_fullStr | Statistical reinforcement learning modern machine learning approaches Masashi Sugiyama, University of Tokyo, Tokyo, Japan |
title_full_unstemmed | Statistical reinforcement learning modern machine learning approaches Masashi Sugiyama, University of Tokyo, Tokyo, Japan |
title_short | Statistical reinforcement learning |
title_sort | statistical reinforcement learning modern machine learning approaches |
title_sub | modern machine learning approaches |
topic | Mathematisches Modell Reinforcement learning Machine learning Mathematical models Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd Operante Konditionierung (DE-588)4172613-3 gnd |
topic_facet | Mathematisches Modell Reinforcement learning Machine learning Mathematical models Bestärkendes Lernen Künstliche Intelligenz Operante Konditionierung |
work_keys_str_mv | AT sugiyamamasashi statisticalreinforcementlearningmodernmachinelearningapproaches |