11325 search results - page 232 / 2265 » Active Model Selection |
153
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FUIN
2010
14 years 11 months ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
145
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CORR
2007
Springer
15 years 4 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
156
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ICUMT
2009
15 years 2 months ago
2009
In cognitive radio networks, secondary user (SU) does not have rights to transmit when the primary user (PU) band is occupied, that's why a sensing technique must be done. Rec...
127
Voted
DANCE
2002
IEEE
15 years 9 months ago
2002
IEEE
We present the architecture, design, and implementation of a Smart Environment for Network Control, Monitoring and Management (SENCOMM). SENCOMM uses active network technology to ...
133
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SIGMOD
2010
ACM
15 years 9 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...