1419 search results - page 93 / 284 » Approximation Methods for Supervised Learning |
128
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
128
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ICMLA
2009
14 years 10 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
130
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ISDA
2010
IEEE
14 years 10 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
122
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ICMLA
2009
14 years 10 months ago
2009
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
233
Voted
ICANN
2011
Springer
14 years 4 months ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...