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" is published by Springer in Nov 23, 2010 and it has 276 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: 276
- Publisher: Springer
- Publish Date: Nov 23, 2010
“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:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL27979825M - OL9075368W
- ISBN-13: 9783642068560
- ISBN-10: 3642068561
- All ISBNs: 3642068561 - 9783642068560
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