Kernel Methods for Omics Data Mining Theory and Applications
Innbundet /
2026
/ Engelsk
Product details
ISBN
9789819531288
Published
2026-01-13
Publisher
Springer Verlag, Singapore
Height
235 mm
Width
155 mm
Age
Research, P, 06
Language
Product language
Engelsk
Format
Product format
Innbundet
Number of pages
10
Extends kernel family in support vector machines algorithms by proposing nonlinear kernels in pattern recognition area Provides various nonlinear techniques for modeling high dimensional, nonlinear and noisy data Makes a comprehensive discussion on omics data analysis, which is a popular issue in bioinformatics area
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Product details
ISBN
9789819531288
Published
2026-01-13
Publisher
Springer Verlag, Singapore
Height
235 mm
Width
155 mm
Age
Research, P, 06
Language
Product language
Engelsk
Format
Product format
Innbundet
Number of pages
10