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ESWA
2008
134views more  ESWA 2008»
13 years 3 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 4 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 10 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 3 months ago
Weighted Neighborhood Classifier for the Classification of Imbalanced Tumor Dataset
Shulin Wang, Xueling Li, Jun-Feng Xia, Xiao-Ping Z...