50 search results - page 1 / 10 » Analyzing Co-training Style Algorithms |
IJSI
2008
13 years 5 months ago
2008
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
NIPS
2004
13 years 6 months ago
2004
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each oth...
ERCIMDL
2010
Springer
13 years 2 months ago
2010
Springer
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...