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ATAL
2005
Springer
14 years 1 months 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
CSMR
2010
IEEE
13 years 2 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
MJ
2011
288views Multimedia» more  MJ 2011»
13 years 2 months ago
Emulation-based transient thermal modeling of 2D/3D systems-on-chip with active cooling
New tendencies envisage 2D/3D Multi-Processor System-On-Chip (MPSoC) as a promising solution for the consumer electronics market. MPSoCs are complex to design, as they must execute...
Pablo Garcia Del Valle, David Atienza
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
14 years 10 days ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...
BPM
2008
Springer
217views Business» more  BPM 2008»
13 years 9 months ago
Detecting Regulatory Compliance for Business Process Models through Semantic Annotations
A given business process may face a large number of regulatory obligations the process may or comply with. Providing tools and techniques through which an evaluation of the complia...
Guido Governatori, Jörg Hoffmann, Shazia Wasi...