5463 search results - page 776 / 1093 » Evaluating algorithms that learn from data streams |
213
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
183
Voted
ICANN
2001
Springer
15 years 12 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
205
Voted
CVPR
2012
IEEE
13 years 10 months ago
2012
IEEE
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
212
Voted
GECCO
2007
Springer
16 years 1 months ago
2007
Springer
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
240
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CORR
2011
Springer
14 years 11 months ago
2011
Springer
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...