766 search results - page 66 / 154 » Variations on U-Shaped Learning |
LWA
2007
15 years 2 months ago
2007
The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. Our basic approach is to learn a large number of rules and record ...
182
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PRIB
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
94
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Object detection can be challenging when the object class exhibits large variations. One commonly-used strategy is to first partition the space of possible object variations and t...
110
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
118
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NIPS
1997
15 years 2 months ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...