22 search results - page 2 / 5 » Learning When Training Data are Costly: The Effect of Class ... |
IAT
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
AAAI
2006
13 years 6 months ago
2006
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
BMCBI
2008
13 years 4 months ago
2008
Background: Establishment of peptide binding to Major Histocompatibility Complex class I (MHCI) is a crucial step in the development of subunit vaccines and prediction of such bin...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...