Learning from data: concepts, theory, and methods
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
IEEE Press
©2007
|
| Ausgabe: | 2nd ed |
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 FHI01 FHN01 URL des Erstveröffentlichers |
| Beschreibung: | Includes bibliographical references (pages 519-531) and index An interdisciplinary framework for learning methodologies--covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied--showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science |
| Beschreibung: | 1 Online-Ressource (xviii, 538 pages) |
| ISBN: | 9780470140529 0470140526 9780470140512 0470140518 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Cherkassky, Vladimir S. |
| author_facet | Cherkassky, Vladimir S. |
| author_role | aut |
| author_sort | Cherkassky, Vladimir S. |
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| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Psychologie Mathematik |
| edition | 2nd ed |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:43Z |
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| language | English |
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| spelling | Cherkassky, Vladimir S. Verfasser aut Learning from data concepts, theory, and methods Vladimir Cherkassky, Filip Mulier 2nd ed Hoboken, N.J. IEEE Press ©2007 1 Online-Ressource (xviii, 538 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 519-531) and index An interdisciplinary framework for learning methodologies--covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied--showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Adaptive signal processing fast Fuzzy systems fast Machine learning fast Neural networks (Computer science) fast Statistisch onderzoek gtt Statistische methoden gtt Computermodellen gtt Datenauswertung swd Maschinelles Lernen swd Methode swd Adaptive signal processing Machine learning Neural networks (Computer science) Fuzzy systems Methode (DE-588)4038971-6 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Datenauswertung (DE-588)4131193-0 s Methode (DE-588)4038971-6 s 1\p DE-604 Maschinelles Lernen (DE-588)4193754-5 s 2\p DE-604 Mulier, Filip Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-471-68182-3 Erscheint auch als Druck-Ausgabe, Hardcover 0-471-68182-2 https://onlinelibrary.wiley.com/doi/book/10.1002/9780470140529 Verlag URL des Erstveröffentlichers Volltext 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 |
| spellingShingle | Cherkassky, Vladimir S. Learning from data concepts, theory, and methods COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Adaptive signal processing fast Fuzzy systems fast Machine learning fast Neural networks (Computer science) fast Statistisch onderzoek gtt Statistische methoden gtt Computermodellen gtt Datenauswertung swd Maschinelles Lernen swd Methode swd Adaptive signal processing Machine learning Neural networks (Computer science) Fuzzy systems Methode (DE-588)4038971-6 gnd Datenauswertung (DE-588)4131193-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4131193-0 (DE-588)4193754-5 |
| title | Learning from data concepts, theory, and methods |
| title_auth | Learning from data concepts, theory, and methods |
| title_exact_search | Learning from data concepts, theory, and methods |
| title_full | Learning from data concepts, theory, and methods Vladimir Cherkassky, Filip Mulier |
| title_fullStr | Learning from data concepts, theory, and methods Vladimir Cherkassky, Filip Mulier |
| title_full_unstemmed | Learning from data concepts, theory, and methods Vladimir Cherkassky, Filip Mulier |
| title_short | Learning from data |
| title_sort | learning from data concepts theory and methods |
| title_sub | concepts, theory, and methods |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Adaptive signal processing fast Fuzzy systems fast Machine learning fast Neural networks (Computer science) fast Statistisch onderzoek gtt Statistische methoden gtt Computermodellen gtt Datenauswertung swd Maschinelles Lernen swd Methode swd Adaptive signal processing Machine learning Neural networks (Computer science) Fuzzy systems Methode (DE-588)4038971-6 gnd Datenauswertung (DE-588)4131193-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Adaptive signal processing Fuzzy systems Machine learning Neural networks (Computer science) Statistisch onderzoek Statistische methoden Computermodellen Datenauswertung Maschinelles Lernen Methode |
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