4930 search results - page 324 / 986 » Learning minimal abstractions |
200
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ECIR
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
187
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ACCV
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
176
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MICCAI
2005
Springer
16 years 7 months ago
2005
Springer
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
166
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
Abstract. A variant of iterative learning in the limit (cf. [LZ96]) is studied when a learner gets negative examples refuting conjectures containing data in excess of the target la...
180
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ICRA
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...