161 search results - page 4 / 33 » A Multiple Resampling Method for Learning from Imbalanced Da... |
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples a...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
DATAMINE
2008
13 years 7 months ago
2008
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
SUTC
2008
IEEE
14 years 1 months ago
2008
IEEE
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
ISDA
2010
IEEE
13 years 5 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...