Rank Space Diversity: A Diversity Measure of Base Kernel Matrices

This paper studies the diversity measure of base kernel matrices. First, rank space diversity is proposed as a diversity measure of base kernel matrices. Then, a rule for choosing base kernel matrices is deduced by this diversity measure. Last, our rule's validation is claimed by some experimen...

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Bibliographic Details
Main Authors: Linkai Luo, Chengde Lin, Hong Peng, Qifeng Zhou
Format: Conference Proceeding
Language:English
Subjects:
Automatic control
Automation
Data mining
diversity measure of base kernel matrices
Extraterrestrial measurements
Kernel
learning kernel matrices
Machine learning
Matrices
rank space diversity
Support vector machines
Testing
Training data
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Description
Summary:This paper studies the diversity measure of base kernel matrices. First, rank space diversity is proposed as a diversity measure of base kernel matrices. Then, a rule for choosing base kernel matrices is deduced by this diversity measure. Last, our rule's validation is claimed by some experiments on artificial data set and benchmark data set.
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2007.4376629