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211
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
204
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
197
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GECCO
2007
Springer
16 years 29 days ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
198
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ICS
2010
Tsinghua U.
16 years 4 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
205
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JMLR
2008
15 years 6 months ago
2008
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...