2566 search results - page 291 / 514 » Relating reinforcement learning performance to classificatio... |
149
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
183
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PERCOM
2007
ACM
16 years 6 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
183
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ICMCS
2006
IEEE
16 years 20 days ago
2006
IEEE
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
261
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ECAI
2008
Springer
15 years 8 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
207
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MICCAI
2005
Springer
16 years 7 months ago
2005
Springer
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...