Kernel Methods for Omics Data Mining Theory and Applications
Innbundet /
2026
/ Engelsk
Produktdetaljer
ISBN
9789819531288
Publisert
2026-01-25
Utgiver
Springer Verlag, Singapore; Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
11
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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Produktdetaljer
ISBN
9789819531288
Publisert
2026-01-25
Utgiver
Springer Verlag, Singapore; Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
11