Support Vector Machines

Ingo Steinwart

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Lingua: inglese

Editore: Springer New York, Springer Okt 2014, 2014

1489989633 / 9781489989635

Serie: Libro 10 di 19 - Information Science and Statistics

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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This item is printed on demand - Print on Demand Titel. Neuware -Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni ed style. In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and last but not least their computational e ciency compared with several other methods. Although there are several roots and precursors of SVMs, these methods gained particular momentum during the last 15 years since Vapnik (1995, 1998) published his well-known textbooks on statistical learning theory with aspecialemphasisonsupportvectormachines. Sincethen,the eldofmachine learninghaswitnessedintenseactivityinthestudyofSVMs,whichhasspread moreandmoretootherdisciplinessuchasstatisticsandmathematics. Thusit seems fair to say that several communities are currently working on support vector machines and on related kernel-based methods. Although there are many interactions between these communities, we think that there is still roomforadditionalfruitfulinteractionandwouldbegladifthistextbookwere found helpful in stimulating further research. Many of the results presented in this book have previously been scattered in the journal literature or are still under review. As a consequence, these results have been accessible only to a relativelysmallnumberofspecialists,sometimesprobablyonlytopeoplefrom one community but not the others.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 620 pp. Englisch.

Codice articolo 9781489989635

Titolo
Support Vector Machines
Autore
Ingo Steinwart
Editore
Springer New York, Springer Okt 2014
Anno di pubblicazione
2014
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
1489989633
ISBN 13
9781489989635
Peso dell'articolo
925 grammi
Dimensioni
235x155x34 mm
Serie
Libro 10 di 19: Information Science and Statistics

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
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