HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >

Integrated kernels and their properties

Files in This Item:
PR40-11.pdf270.34 kBPDFView/Open
Please use this identifier to cite or link to this item:

Title: Integrated kernels and their properties
Authors: Tanaka, Akira Browse this author →KAKEN DB
Imai, Hideyuki Browse this author →KAKEN DB
Kudo, Mineichi Browse this author →KAKEN DB
Miyakoshi, Masaaki Browse this author
Keywords: Kernel
Reproducing kernel Hilbert space
Projection learning
Parameter integration
Issue Date: Nov-2007
Publisher: Elsevier B.V.
Journal Title: Pattern Recognition
Volume: 40
Issue: 11
Start Page: 2930
End Page: 2938
Publisher DOI: 10.1016/j.patcog.2007.02.014
Abstract: Kernel machines are widely considered to be powerful tools in various fields of information science. By using a kernel, an unknown target is represented by a function that belongs to a reproducing kernel Hilbert space (RKHS) corresponding to the kernel. The application area is widened by enlarging the RKHS such that it includes a wide class of functions. In this study, we demonstrate a method to perform this by using parameter integration of a parameterized kernel. Some numerical experiments show that the unresolved problem of finding a good parameter can be neglected.
Type: article (author version)
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 田中 章

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University