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» A Machine Model for Aspect-Oriented Programming
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118
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 9 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
133
Voted
VRML
2000
ACM
15 years 8 months ago
3D behavioral model design for simulation and software engineering
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
Paul A. Fishwick
147
Voted
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 10 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
TASE
2007
IEEE
15 years 9 months ago
Symmetry Reduced Model Checking for B
Symmetry reduction is a technique that can help alleviate the problem of state space explosion in model checking. The idea is to verify only a subset of states from each class (or...
Edd Turner, Michael Leuschel, Corinna Spermann, Mi...
121
Voted
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 9 months ago
A systemic computation platform for the modelling and analysis of processes with natural characteristics
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto