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» Cycle-to-cycle variability as an optimal behavioral strategy
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IPPS
2006
IEEE
15 years 3 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
15 years 1 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
CASES
2003
ACM
15 years 2 months ago
Compiler-decided dynamic memory allocation for scratch-pad based embedded systems
This paper presents a highly predictable, low overhead and yet dynamic, memory allocation strategy for embedded systems with scratch-pad memory. A scratch-pad is a fast compiler-m...
Sumesh Udayakumaran, Rajeev Barua
EUROPAR
2009
Springer
15 years 2 months ago
Modelling Pilot-Job Applications on Production Grids
Pilot-job systems have emerged as a computation paradigm to cope with heterogeneity of production grids, greatly improving fault ratios and latency. Tools like DIANE, WISDOM-II, To...
Tristan Glatard, Sorina Camarasu-Pop
TFS
2008
157views more  TFS 2008»
14 years 9 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin