2512 search results - page 250 / 503 » Learning from Highly Structured Data by Decomposition |
138
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JFR
2006
15 years 4 months ago
2006
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
162
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
125
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AAAI
2006
15 years 5 months ago
2006
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
131
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IJON
2007
15 years 4 months ago
2007
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
132
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CEAS
2007
Springer
15 years 8 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...