1484 search results - page 74 / 297 » Semi-supervised Learning from General Unlabeled Data |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
MMM
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion...
OSDI
2008
ACM
13 years 10 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...