680 search results - page 1 / 136 » Analyzing the Effectiveness and Applicability of Co-training |
109
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NIPS
2004
14 years 11 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...
IJSI
2008
14 years 9 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...
83
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CIKM
2000
Springer
15 years 1 months ago
2000
Springer
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
AUSAI
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Analysis of queries posed to open-domain question-answering systems indicates that particular types of queries are dominant, e.g., queries about the identity of people, a...