4930 search results - page 29 / 986 » Learning minimal abstractions |
84
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. In some learning settings, the cost of acquiring features for classification must be paid up front, before the classifier is evaluated. In this paper, we introduce the fo...
109
Voted
CDC
2009
IEEE
15 years 5 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
131
Voted
AIR
2006
15 years 15 days ago
2006
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
119
Voted
ECCV
2006
Springer
16 years 2 months ago
2006
Springer
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
111
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NIPS
2001
15 years 1 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...