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» Adaptive Informative Sampling for Active Learning
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EMNLP
2010
13 years 5 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 5 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
ECIS
2004
13 years 9 months ago
Activity Based generation of requirements for web-based information systems: the SSM/ICDT approach
Web site development method is at an early stage in its evolution. Most existing methods are concerned with technical software issues and are poorly adapted to help developers thi...
Mary Meldrum, Jeremy Rose
CVPR
2007
IEEE
13 years 11 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...
CORR
2011
Springer
182views Education» more  CORR 2011»
12 years 11 months ago
Adaptively Learning the Crowd Kernel
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, A...