342 search results - page 5 / 69 » Evaluation of Classifiers for an Uneven Class Distribution P... |
90
Voted
HIS
2008
14 years 11 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
101
Voted
IFIP12
2008
14 years 11 months ago
2008
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
102
Voted
BMCBI
2010
14 years 10 months ago
2010
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
89
Voted
DAWAK
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
77
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...