499 search results - page 48 / 100 » Learning Through Telemedicine Networks |
129
Voted
AR
2007
15 years 3 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
142
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
The problem of distributed learning and channel access is considered in a cognitive network with multiple secondary users. The availability statistics of the channels are initially...
126
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JMLR
2010
14 years 10 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
112
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Natural networks such as those between humans observed through their interactions or biological networks predicted based on various experimental measurements contain a wealth of i...
117
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PAM
2010
Springer
15 years 10 months ago
2010
Springer
The ability to pinpoint the geographic location of IP hosts is compelling for applications such as on-line advertising and network attack diagnosis. While prior methods can accurat...