240 search results - page 4 / 48 » Investigating Classifier Learning Behavior with Experiment D... |
GECCO
2009
Springer
14 years 26 days ago
2009
Springer
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
SIGOPS
1998
13 years 6 months ago
1998
Abstract: The undergraduate operating systems course can provide students with a valuable introduction to empirical testing and experimentation. This paper announces the availabili...
ICML
2000
IEEE
14 years 7 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
ISCI
2007
13 years 6 months ago
2007
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...