2712 search results - page 83 / 543 » On learning algorithm selection for classification |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
ML
2000
ACM
13 years 8 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
BMCBI
2010
13 years 9 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...