Kernel based algorithms for mining huge data sets - Info and Reading Options
supervised, semi-supervised, and unsupervised learning
By Te-Ming Huang
"Kernel based algorithms for mining huge data sets" was published by Springer in 2006 - Berlin and it has 260 pages.
“Kernel based algorithms for mining huge data sets” Metadata:
- Title: ➤ Kernel based algorithms for mining huge data sets
- Author: Te-Ming Huang
- Number of Pages: 260
- Publisher: Springer
- Publish Date: 2006
- Publish Location: Berlin
“Kernel based algorithms for mining huge data sets” Subjects and Themes:
- Subjects: Machine learning - Data mining - Functions of complex variables - Kernel functions - Algorithms
Edition Specifications:
- Pagination: xvi, 260 p. :
Edition Identifiers:
- The Open Library ID: OL22729511M - OL9075368W
- Library of Congress Control Number (LCCN): 2005938947
- ISBN-13: 9783540316817
- ISBN-10: 3540316817
- All ISBNs: 3540316817 - 9783540316817
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