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229
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JMLR
2012
13 years 9 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
144
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ALT
2005
Springer
16 years 3 months ago
2005
Springer
We consider a variant of Gold’s learning paradigm where a learner receives as input n different languages (in form of one text where all input languages are interleaved). Our g...
183
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
147
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ICMCS
2005
IEEE
16 years 7 days ago
2005
IEEE
We study the problem of rate-distortion optimal packetization with uneven erasure protection (UEP) of scalable source sequence, into multiple groups of packets. The grouping of pa...
181
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ISCAS
2003
IEEE
15 years 12 months ago
2003
IEEE
Optimal transceivers that minimize the transmission power for a given probability of error and transmission bit rate will be evaluated for ADSL applications. We will compare the p...