Multi-kernel Classification Machine with Universum learning - Tapa blanda

Zhu, Changming

 
9783659707933: Multi-kernel Classification Machine with Universum learning
Tapa blanda
ISBN 10: 3659707937 ISBN 13: 9783659707933
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

Universum learning can reflect priori knowledge about application domain and improve classification performances. Since multi-kernel classification machine with reduced complexity, i.e., NMKMHKS, has a high performance to reduce both the time and space complexities of multiple kernel learning (MKL), so we introduce Universum learning into NMKMHKS and propose a Universum-based NMKMHKS (Uni-NMKMHKS).

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Reseña del editor

Universum learning can reflect priori knowledge about application domain and improve classification performances. Since multi-kernel classification machine with reduced complexity, i.e., NMKMHKS, has a high performance to reduce both the time and space complexities of multiple kernel learning (MKL), so we introduce Universum learning into NMKMHKS and propose a Universum-based NMKMHKS (Uni-NMKMHKS).

Biografía del autor

Changming Zhu received the B.S degree and PHD degree in Department of Computer Science and Engineering, East China University of Science and Technology (ECUST), China, 2010 and 2015 respectively. Currently he is a teacher in College of Information Engineering, Shanghai Maritime University. His research interests focus on neural computing.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3659707937
ISBN 13 
9783659707933
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
no disponible