963 search results - page 36 / 193 » Active Learning by Labeling Features |
109
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
134
Voted
ICCS
2007
Springer
15 years 8 months ago
2007
Springer
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
126
Voted
ICDM
2005
IEEE
15 years 8 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
108
Voted
PAKDD
2010
ACM
15 years 7 months ago
2010
ACM
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
107
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NIPS
2007
15 years 4 months ago
2007
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...