114 search results - page 11 / 23 » The use of unlabeled data to improve supervised learning for... |
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
EMNLP
2010
13 years 5 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
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...