ISBN: 9781447174547 - neural networks and statistical learning (20 resultados)

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: New.

Condición: New. pp. XXX, 988 184 illus., 70 illus. in color. 2 Edition NO-PA16APR2015-KAP.

Condición: New. pp. XXX, 988 184 illus., 70 illus. in color.

Condición: New. pp. XXX, 988 184 illus., 70 illus. in color.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New.

Taschenbuch. Condición: Neu. Neural Networks and Statistical Learning | Ke-Lin Du (u. a.) | Taschenbuch | xxx | Englisch | 2020 | Springer | EAN 9781447174547 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includessixnew chapters that correspond to the recent advances in computational learning theory,sparsecoding, deep learning, big data and cloud computing.Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include:- multilayer perceptron;- the Hopfield network;- associative memory models;- clustering models and algorithms;- t he radial basis function network;- recurrent neural networks;- nonnegative matrix factorization;- independent component analysis;-probabilistic and Bayesian networks; and- fuzzy sets and logic.Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.…

Condición: New.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includessixnew chapters that correspond to the recent advances in computational learning theory,sparsecoding, deep learning, big data and cloud computing.Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include:- multilayer perceptron;- the Hopfield network;- associative memory models;- clustering models and algorithms;- t he radial basis function network;- recurrent neural networks;- nonnegative matrix factorization;- independent component analysis;-probabilistic and Bayesian networks; and- fuzzy sets and logic.Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning. 1020 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Extensively updated second edition with new chapters on spar coding, deep learning, big data and cloud computingA comprehensive introduction to neural networks and statistical learning from a practical perspective.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing.Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include:¿ multilayer perceptron;¿ the Hopfield network;¿ associative memory models;¿ clustering models and algorithms;¿ t he radial basis function network;¿ recurrent neural networks;¿ nonnegative matrix factorization;¿ independent component analysis;¿probabilistic and Bayesian networks; and¿ fuzzy sets and logic.Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 1020 pp. Englisch.…