Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409111 | Neurocomputing | 2008 | 4 Pages |
Abstract
In this paper, a novel classifier, called adaptive local hyperplane, is proposed for pattern classification. The experimental results on 11 real data sets demonstrate that the proposed classifier outperforms, on average, all the other seven benchmarking classifiers. In particular, it is the best classifier in 10 out of 11 data sets, and it is the close second best for just one data set.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Tao Yang, Vojislav Kecman,