5463 search results - page 263 / 1093 » Evaluating algorithms that learn from data streams |
172
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TSD
2010
Springer
15 years 4 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
181
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
145
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We introduce quadratically gated mixture of experts (QGME), a statistical model for multi-class nonlinear classification. The QGME is formulated in the setting of incomplete data,...
171
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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...
165
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...