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ESWA
2008
134views more  ESWA 2008»
13 years 2 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
DM
2008
100views more  DM 2008»
13 years 3 months ago
Constructing and classifying neighborhood anti-Sperner graphs
For a simple graph G let NG(u) be the (open) neighborhood of vertex u V (G). Then G is neighborhood anti-Sperner (NAS) if for every u there is a v V (G)\{u} with NG(u) NG(v). A...
John P. McSorley
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
13 years 9 months ago
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs
Arvind S. Mohais, Rosemarie Mohais, Christopher Wa...
JCSC
2010
67views more  JCSC 2010»
13 years 2 months ago
Weighted Neighborhood Classifier for the Classification of Imbalanced Tumor Dataset
Shulin Wang, Xueling Li, Jun-Feng Xia, Xiao-Ping Z...