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» E-learning by Doing with Computational Logic
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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
ASPLOS
2009
ACM
14 years 9 months ago
Understanding software approaches for GPGPU reliability
Even though graphics processors (GPUs) are becoming increasingly popular for general purpose computing, current (and likely near future) generations of GPUs do not provide hardwar...
Martin Dimitrov, Mike Mantor, Huiyang Zhou
ASPDAC
2007
ACM
98views Hardware» more  ASPDAC 2007»
14 years 15 days ago
Node Mergers in the Presence of Don't Cares
Abstract-- SAT sweeping is the process of merging two or more functionally equivalent nodes in a circuit by selecting one of them to represent all the other equivalent nodes. This ...
Stephen Plaza, Kai-Hui Chang, Igor L. Markov, Vale...
AISADM
2005
Springer
14 years 2 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky
COMPUTER
1998
131views more  COMPUTER 1998»
13 years 8 months ago
Windows NT Clustering Service
ER ABSTRACTIONS ter service uses several abstractions— including resource, resource dependencies, and resource groups—to simplify both the cluster service itself and user-visib...
Rod Gamache, Rob Short, Mike Massa