9886 search results - page 199 / 1978 » Learning Compressible Models |
119
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ADHOC
2004
15 years 3 months ago
2004
We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the topic o...
127
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SIGKDD
2010
14 years 10 months ago
2010
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
117
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ICALT
2008
IEEE
15 years 9 months ago
2008
IEEE
Future collaborative learning technologies are characterized by the CSCL community as highly malleable and flexible. A promising approach for meeting these expectations is to use ...
104
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ICANN
2003
Springer
15 years 8 months ago
2003
Springer
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
132
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FDG
2009
ACM
15 years 1 months ago
2009
ACM
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...