1175 search results - page 78 / 235 » Experimental perspectives on learning from imbalanced data |
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
IJAR
2006
14 years 9 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
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Voted
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
ACL
2012
13 years 6 days ago
2012
In this paper, we address the issue for learning better translation consensus in machine translation (MT) research, and explore the search of translation consensus from similar, r...
BSN
2006
IEEE
15 years 3 months ago
2006
IEEE
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...