6715 search results - page 308 / 1343 » Learning from a Test Set |
167
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
122
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CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
141
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KDD
2009
ACM
16 years 5 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
143
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IROS
2006
IEEE
15 years 10 months ago
2006
IEEE
- In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to lear...
140
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ESANN
2008
15 years 6 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...