683 search results - page 32 / 137 » Active Sampling for Feature Selection |
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
ICIAR
2005
Springer
14 years 1 months ago
2005
Springer
This paper proposes an iterative methodology for real-time robust mosaic topology inference. It tackles the problem of optimal feature selection (optimal sampling) for global estim...
ACMICEC
2007
ACM
13 years 12 months ago
2007
ACM
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...
HIS
2007
13 years 9 months ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...