7 search results - page 1 / 2 » Complete Cross-Validation for Nearest Neighbor Classifiers |
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
TIP
2008
13 years 4 months ago
2008
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
DEXAW
1999
IEEE
13 years 9 months ago
1999
IEEE
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
ICMLA
2009
13 years 2 months ago
2009
We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologi...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...