220 search results - page 10 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
114
Voted
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
112
click to vote
EMNLP
2010
14 years 7 months ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
MLDM
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents a novel solution for the problem of building text classifier using positive documents (P) and unlabeled documents (U). Here, the unlabeled documents are mixed w...