33 search results - page 2 / 7 » Bayesian instance selection for the nearest neighbor rule |
SADM
2010
12 years 11 months ago
2010
: 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...
IBPRIA
2007
Springer
13 years 11 months ago
2007
Springer
Some fast nearest neighbor search (NNS) algorithms using metric properties have appeared in the last years for reducing computational cost. Depending on the structure used to store...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
IWANN
2011
Springer
12 years 7 months ago
2011
Springer
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...