Nemokamas pristatymas nuo 29€

  • check 10 + milijonai knygų
  • check Naujienos (kiekvieną dieną)
  • check 1 + mln. klientų mus pasitiki
  • check Geros kainos % Nuolaidos
  • check Nemokamas pristatymas nuo 29 eur

Enhancing Kernel Methods for Pattern Classification: Theories and Implementations - Ke Tang

Anglų
2009-07-21
82,60 € 110,13 €

-25% su kodu BOOKS

Turime sandėlyje pas mūsų tiekėją

Pristatymas per 10-16 d.d.

30 dienų grąžinimo politika

Kernel methods are a new family of techniques with sound theoretical grounds. They have been shown to be powerful approaches to pattern classification problems. However, many of the newly created kernel methods are far from perfect, and extensions and improvements are always required to make them even more effective. This book investigates one important class of the kernel methods, the least square support ... Visas aprašymas

Jums taip pat gali patikti

Aprašymas

Kernel methods are a new family of techniques with sound theoretical grounds. They have been shown to be powerful approaches to pattern classification problems. However, many of the newly created kernel methods are far from perfect, and extensions and improvements are always required to make them even more effective. This book investigates one important class of the kernel methods, the least square support vector machines (LS-SVM), and enhances its performance extensively. In particular, the LS-SVM is enhanced in the contexts of four sub-problems related to solving the pattern classification problem. That is, model selection, feature selection, building sparse kernel classifier and kernel classifier ensemble. The LS-SVM can be regarded as a representative of many other kernel methods, and thus many ideas presented in this book can be easily extended to enhance performance of those related kernel methods. The results obtained should be useful to professionals that work on the theoretical aspects of kernel methods, or anyone else who may be considering ustilizing kernel methods for real-world pattern classification problems.

Daugiau informacijos

Autorius Ke Tang
Leidėjas VDM Verlag
Išleidimo metai 2009
Viršelio tipas Minkšti viršeliai
EAN 9783639182606
Parašykite savo atsiliepimą
Jūs peržiūrėjote: Enhancing Kernel Methods for Pattern Classification: Theories and Implementations
Jūsų įvertinimas:

Goodreads Atsiliepimai

82,60 € 110,13 €