690 search results - page 18 / 138 » Training of Classifiers Using Virtual Samples Only |
ISF
2010
13 years 4 months ago
2010
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
JCIT
2010
13 years 2 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
FLAIRS
2007
13 years 10 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...