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ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Integrating co-training and recognition for text detection
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
Wen Wu, Datong Chen, Jie Yang
ISMB
2001
13 years 10 months ago
Molecular classification of multiple tumor types
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo...
FSS
2008
110views more  FSS 2008»
13 years 9 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
PKDD
2010
Springer
143views Data Mining» more  PKDD 2010»
13 years 7 months ago
A Unified Approach to Active Dual Supervision for Labeling Features and Examples
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
Josh Attenberg, Prem Melville, Foster J. Provost
GI
2009
Springer
14 years 1 months ago
Applying Concept-Driven Engineering for Business Process Specifications
: This paper presents the principles of concept-driven engineering and the ConceptManager tool as an implementation of these principles. Concept-Driven Engineering is capable of el...
Peggy Schmidt, Marion Behrens, Sebastian Kowski