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100%: Pal, Sankar Kumar and Bandyopadhyay, Sanghamitra: Classification Learning Using Genetic Algorithms: Applications in Bioinformatics Web Intelligence (Natural Computing) (ISBN: 9783642080548) 2007, Springer, Berlin, in Deutsch, Taschenbuch.Nur diese Ausgabe anzeigen…
96%: Sanghamitra Bandyopadhyay; Sankar K. Pal: Classification and Learning Using Genetic Algorithms (ISBN: 9783540496069) in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
38%: Bandyopadhyay, Sanghamitra;Pal, Sankar K.: Classification and Learning Using Genetic Algorithms als eBook von Sankar Kumar Sankar . (ISBN: 9783540496076) 2007, Springer, Berlin/Heidelberg, Deutschland, in Deutsch, auch als eBook.Nur diese Ausgabe anzeigen…
Classification Learning Using Genetic Algorithms: Applications in Bioinformatics Web Intelligence (Natural Computing)
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| Preise | 2013 | 2014 | 2015 |
|---|---|---|---|
| Schnitt | € 111,22 | € 138,57 | € 173,02 |
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1
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence
DE HC NWISBN: 9783540496069 bzw. 3540496068, in Deutsch, Springer, gebundenes Buch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Hardcover. 311 pages. Dimensions: 9.3in. x 6.3in. x 0.9in.This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis--vis several widely used classifiers, including neural networks. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN, Momence,IL, Commerce,GA.
Hardcover. 311 pages. Dimensions: 9.3in. x 6.3in. x 0.9in.This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis--vis several widely used classifiers, including neural networks. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN, Momence,IL, Commerce,GA.
2
Classification Learning Using Genetic Algorithms: Applications in Bioinformatics Web Intelligence (2014)
DE HC NWISBN: 9783540496069 bzw. 3540496068, in Deutsch, Springer Verlag 01/04/2014, gebundenes Buch, neu.
Von Händler/Antiquariat, Paperbackshop-US [8408184], Secaucus, NJ, U.S.A.
New Book. This item is printed on demand. Shipped from US This item is printed on demand.
New Book. This item is printed on demand. Shipped from US This item is printed on demand.
3
Classification and Learning Using Genetic Algorithms (2007)
DE HC NWISBN: 9783540496069 bzw. 3540496068, in Deutsch, Springer Verlag, gebundenes Buch, neu.
Von Händler/Antiquariat, Media Mall [57912909], Fyshwick, ACT, Australia.
"This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-a-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains." "This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit."--BOOK JACKET. Our orders are sent from our warehouse locally or directly from our international distributors to allow us to offer you the best possible price and delivery time.
"This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-a-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains." "This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit."--BOOK JACKET. Our orders are sent from our warehouse locally or directly from our international distributors to allow us to offer you the best possible price and delivery time.
4
Classification and Learning Using Genetic Algorithms (2007)
DE NWISBN: 9783540496069 bzw. 3540496068, in Deutsch, Springer-Verlag Gmbh Apr 2007, neu.
Von Händler/Antiquariat, Rheinberg-Buch [53870650], Bergisch Gladbach, NRW, Germany.
Neuware - This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit. 311 pp. Englisch.
Neuware - This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit. 311 pp. Englisch.
5
Classification and Learning Using Genetic Algorithms (2007)
DE NWISBN: 9783540496069 bzw. 3540496068, in Deutsch, Springer-Verlag Gmbh Apr 2007, neu.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, NRW, Germany.
Neuware - This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit. 311 pp. Englisch.
Neuware - This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit. 311 pp. Englisch.
6
Classification and Learning Using Genetic Algorithms (2007)
~EN HC NWISBN: 9783540496069 bzw. 3540496068, vermutlich in Englisch, Springer, gebundenes Buch, neu.
Lieferung aus: Deutschland, Sofort lieferbar.
Applications in Bioinformatics and Web Intelligence This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. 23.04.2007, gebundene Ausgabe.
Applications in Bioinformatics and Web Intelligence This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. 23.04.2007, gebundene Ausgabe.
7
Classification and Learning Using Genetic Algorithms
DE PB NWISBN: 9783642080548 bzw. 3642080545, in Deutsch, Springer, Berlin, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
buecher.de GmbH & Co. KG, [1].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing) (2007)
DE PB NWISBN: 9783642080548 bzw. 3642080545, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, Revaluation Books [2134736], Exeter, DEV, United Kingdom.
softcover reprint of hardcover 1st ed. 2007 edition. 327 pages. 9.21x6.14x0.87 inches. In Stock.
softcover reprint of hardcover 1st ed. 2007 edition. 327 pages. 9.21x6.14x0.87 inches. In Stock.
9
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Classification and Learning Using Genetic Algorithms Applications in Bioinformatics and Web Intelligence 2007 (2007)
~EN USISBN: 9783540496069 bzw. 3540496068, vermutlich in Englisch, Springer Berlin, gebraucht, guter Zustand.
Lieferung aus: Deutschland, Versandkostenfrei in die BRD.
Von Händler/Antiquariat, Buchpark GmbH, 14959 Trebbin.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Buchpark GmbH, 14959 Trebbin.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
DE PB NWISBN: 9783642080548 bzw. 3642080545, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, ExtremelyReliable [8304062], RICHMOND, TX, U.S.A.
This item is printed on demand.
This item is printed on demand.
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