10458 search results - page 292 / 2092 » Modeling Features at Runtime |
152
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
179
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
183
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CGO
2009
IEEE
16 years 1 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
175
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AI
2004
Springer
15 years 6 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
193
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram pa...