Kernel Method : Fundamentals and Applications

MAEDA Eisaku

Bibliographic Information

Other Title

カーネル法 : 基礎と応用

Description

Kernel methods is a class of well known techniques for pattern analysis algorithms such as Support Vector Machines (SVM), and enable to operate non-linear processing in a transformed high dimensional feature space without computing the coordinates of the data. Today, kernel methods are not only combined with a lot of linear methods for vector data, but also extended to methods for structured data such as strings, trees and graphs, and are widely applied to computer vision, natural language processing, bioinformatics, and data mining, etc.

Journal

Technical report of IEICE. PRMU

Technical report of IEICE. PRMU 108 (198), 55-, 2008-08-29

The Institute of Electronics, Information and Communication Engineers

Details 詳細情報について

CRID: 1570854177607846528

NII Article ID: 110007087161

NII Book ID: AN10541106

Text Lang: ja

Data Source

CiNii Articles

Export

Report a problem