Pattern recognition supervised learning (9 risultati)
Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning
Ishii, Kenichiro (Author)/ Ueda, Naonori (Author)/ Maeda, Eisaku (Author)/ Murase, Hiroshi (Author)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 72,12
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Hardcover. Condizione: Brand New. 479 pages. 9.26x6.11x1.10 inches. In Stock.
Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning (Springer Asia Pacific Mathematics Series, 1)
Ishii, Kenichiro; Ueda, Naonori; Maeda, Eisaku; Murase, Hiroshi
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 116,43
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning
Ishii, Kenichiro (Author)/ Ueda, Naonori (Author)/ Maeda, Eisaku (Author)/ Murase, Hiroshi (Author)
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 117,67
EUR 14,59 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Brand New. 479 pages. 9.26x6.11x1.10 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 40,58
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Pattern recognition is 'the act of taking in raw data and taking an action based on the category of the pattern'. Most research in pattern recognition is about methods for supervised learning…and unsupervised learning. Pattern recognition aims to classify data (patterns) based either on a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space. This is in contrast to pattern matching, where the pattern is rigidly specified. A complete pattern recognition system consists of a sensor that gathers the observations to be classified or described, a feature extraction mechanism that computes numeric or symbolic information from the observations, and a classification or description scheme that does the actual job of classifying or describing observations, relying on the extracted features.
Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning (Springer Asia Pacific Mathematics Series, 1)
Ishii, Kenichiro; Ueda, Naonori; Maeda, Eisaku; Murase, Hiroshi
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 117,61
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Condizione: New. Print on Demand.
Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning (Springer Asia Pacific Mathematics Series, 1)
Ishii, Kenichiro; Ueda, Naonori; Maeda, Eisaku; Murase, Hiroshi
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 118,90
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Condizione: New. PRINT ON DEMAND.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 66,75
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Buch. Condizione: Neu. Pattern Recognition and Machine Learning for Self-Study I | Supervised Learning | Kenichiro Ishii (u. a.) | Buch | Springer Asia Pacific Mathematics Series | xx | Englisch | 2026 | Springer | EAN 9789819514779 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 79,75
EUR 64,40 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explains the basic principles of pattern recognition (PR) and machine learning (ML) in an easy-to-understand manner for beginners who are trying to learn these principles on their own. Readers with a basic knowledge of linear algebra… and probability theory will find it easy to follow.Many excellent books in this field have been published in the past. However, these books are not necessarily intended for self-study by beginners.This book limits the topics to the minimum essential themes that beginners should learn, and explains them in detail. This book focuses on supervised learning, first introducing classical but important methods that have contributed to the development of the field. It then explains various methods that have since attracted attention. In explaining these methods, the book also provides a historical account of how new technologies were created as a result of combining classical ideas. The book emphasizes that Bayes decision rule is a fundamental concept in PR and ML.The following points make this book suitable for self-study by beginners.(1) The book is self-contained, so that the reader does not need to refer to other books or literature. (2) To deepen the reader's understanding, exercises are provided at the end of each chapter with detailed solutions available online.(3) To promote the reader's intuitive understanding, the book presents as many concrete examples as possible.(4) Coffee Break columns introduce knowledge and know-how from the author's experience.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 125,30
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Taschenbuch. Condizione: Neu. Pattern Recognition | Supervised Learning, Unsupervised Learning, Space (mathematics), Pattern Matching, Feature Extraction, Training Set | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130492106 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengeri…cher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
