93 search results - page 10 / 19 » Semi-Supervised Text Classification Using Positive and Unlab... |
NIPS
2008
13 years 9 months ago
2008
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
MLDM
2007
Springer
14 years 1 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...
SIGIR
2010
ACM
13 years 7 months ago
2010
ACM
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...