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147
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 2 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
114
Voted
ECAI
2006
Springer
15 years 6 months ago
Learning Behaviors Models for Robot Execution Control
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...
Guillaume Infantes, Félix Ingrand, Malik Gh...
WSC
2004
15 years 4 months ago
Data and Metadata Requirements for Composable Mission Space Environments
Composability is the capability to select and assemble reusable simulation components in various combinations into simulation systems to meet user requirements. The Defense Modeli...
Katherine L. Morse
ICWS
2009
IEEE
15 years 10 days ago
A MapReduce-Enabled Scientific Workflow Composition Framework
MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
Xubo Fei, Shiyong Lu, Cui Lin
145
Voted
VMCAI
2004
Springer
15 years 8 months ago
Construction of a Semantic Model for a Typed Assembly Language
Typed Assembly Languages (TALs) can be used to validate the safety of assembly-language programs. However, typing rules are usually trusted as axioms. In this paper, we show how to...
Gang Tan, Andrew W. Appel, Kedar N. Swadi, Dinghao...