Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robe...
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Copyright 2005 IEEE. Published in the 2005 International Conference on Image Processing (ICIP-2005), September 11-14, 2005, Genoa, Italy. Personal use of this material is permitte...
H. Harlyn Baker, Michael Harville, Nina Bhatti, Sa...
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
A three-year study collected information bearing on the question of whether studying mathematics improves programming skills. An analysis of the data revealed significant differen...