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BMCBI
2010
164views more  BMCBI 2010»
15 years 6 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...
ATAL
2005
Springer
16 years 15 hour ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
TON
2002
75views more  TON 2002»
15 years 6 months ago
Optimal retrial and timeout strategies for accessing network resources
The notion of timeout (namely, the maximal time to wait before retrying an action) turns up in many networking contexts, such as packet transmission, connection establishment, etc....
Lavy Libman, Ariel Orda
CORR
2007
Springer
63views Education» more  CORR 2007»
15 years 6 months ago
Optimizing the SINR operating point of spatial networks
— This paper addresses the following question, which is of interest in the design and deployment of a multiuser decentralized network. Given a total system bandwidth of W Hz and ...
Nihar Jindal, Jeffrey G. Andrews, Steven Weber
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 6 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...