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196
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AIIDE
2006
15 years 8 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
143
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RSFDGRC
2005
Springer
16 years 8 days ago
2005
Springer
Abstract. The Unpredictability Measure computation algorithm applied to psychoacoustic model-based broadband noise attenuation is discussed. A learning decision algorithm based on ...
195
Voted
ECAI
2006
Springer
15 years 10 months ago
2006
Springer
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
153
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ACSAC
2009
IEEE
16 years 1 months ago
2009
IEEE
Abstract—We present an efficient and robust stepping-stone detection scheme based on succinct packet-timing sketches of network flows. The proposed scheme employs an online alg...
167
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ADBIS
1999
Springer
15 years 11 months ago
1999
Springer
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...