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» Cycle-to-cycle variability as an optimal behavioral strategy
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IPPS
2006
IEEE
16 years 1 days 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 10 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 11 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 10 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»
15 years 5 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