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» Using Anonymized Data for Classification
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125
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AAAI
2007
15 years 5 months ago
Cautious Inference in Collective Classification
Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
ICML
2006
IEEE
16 years 3 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
AUSAI
2008
Springer
15 years 4 months ago
Discriminating Against New Classes: One-class versus Multi-class Classification
Many applications require the ability to identify data that is anomalous with respect to a target group of observations, in the sense of belonging to a new, previously unseen `atta...
Kathryn Hempstalk, Eibe Frank
125
Voted
EMNLP
2010
15 years 22 days ago
Automatic Detection and Classification of Social Events
In this paper we introduce the new task of social event extraction from text. We distinguish two broad types of social events depending on whether only one or both parties are awa...
Apoorv Agarwal, Owen Rambow
154
Voted
TCBB
2010
112views more  TCBB 2010»
14 years 9 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...