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» New models and algorithms for programmable networks
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 4 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
86
Voted
WG
2000
Springer
15 years 4 months ago
Networks with Small Stretch Number
: In a previous work, the authors introduced the class of graphs with bounded induced distance of order k, (BID(k) for short) to model non-reliable interconnection networks. A netw...
Serafino Cicerone, Gabriele Di Stefano
126
Voted
WIOPT
2010
IEEE
14 years 10 months ago
Energy efficient scheduling with power control for wireless networks
Scheduling of transmissions is one of the most fundamental problems in the context of wireless networks. In this article, we consider the problem of computing power efficient sched...
Bastian Katz, Markus Völker, Dorothea Wagner
116
Voted
TON
2010
127views more  TON 2010»
14 years 7 months ago
Queue Dynamics With Window Flow Control
This paper develops a new model that describes the queueing process of a communication network when data sources use window flow control. The model takes into account the burstines...
Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, ...
JMLR
2010
192views more  JMLR 2010»
14 years 7 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle