On kernel difference-weighted k-nearest neighbor classification-Reference-Cited by-同舟云学术

On kernel difference-weighted k-nearest neighbor classification

Published:2008-01-26 Issue:3-4 Volume:11 Page:247-257
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Zuo Wangmeng,Zhang David,Wang Kuanquan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-007-0100-z.pdf

Reference36 articles.

1. Aha DW, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6:37–66

2. Atiya AF (2005) Estimating the posterior probabilities using the K-nearest neighbor rule. Neural Comput 17:731–740

3. Bailey T, Jain AK (1978) A note on distance-weighted k-nearest neighbor rules. IEEE Trans Syst Man Cybern 8:311–313

4. Beygelzimer A, Kakade S, Langford J (2006) Cover trees for nearest neighbor. In: International conference on machine learning

5. Blake CL, Merz CJ (1998) UCI repository of machine learning databases, Department of Information and Computer Sciences, University of California, Irvine. http://www.ics.uci.edu/mlearn/MLRepository.html

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