1034 search results - page 161 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
140
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CRV
2009
IEEE
15 years 10 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
117
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KDD
2002
ACM
16 years 3 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
153
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ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
166
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
137
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RIAO
2007
15 years 4 months ago
2007
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...