4930 search results - page 15 / 986 » Learning minimal abstractions |
113
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IJCV
2011
14 years 7 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
126
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
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 ...
TARK
2007
Springer
15 years 6 months ago
2007
Springer
We relate regret minimization to various online learning tasks, and most notable option pricing.
STOC
2006
ACM
16 years 21 days ago
2006
ACM
Producing a small DNF expression consistent with given data is a classical problem in computer science that occurs in a number of forms and has numerous applications. We consider ...
156
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ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...