Regularization optimization kernels and support vector machines

Contributor(s):

Material type:

TextLanguage: English Publication details: Boca Raton : CRC Press. 2015,Description: xvii, 507p. : illISBN:

9781482241396

Subject(s):

Other classification:

D65,8(B):9 Q5 TOR

Summary: Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning.

Item type:

Textbook

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textbook	Central Science Library	Central Science Library			D65,8(B):9 Q5 TOR (Browse shelf(Opens below))					Available			SL1598105

Index 503-507p.

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning.

There are no comments on this title.

to post a comment.