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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 9 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
ENTCS
2007
143views more  ENTCS 2007»
14 years 10 months ago
Formal Fault Tree Analysis - Practical Experiences
Safety is an important requirement for many modern systems. To ensure safety of complex critical systems, well-known safety analysis methods have been formalized. This holds in pa...
Frank Ortmeier, Gerhard Schellhorn
DAC
2007
ACM
15 years 1 months ago
A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices
The number of features that are supported in modern multimedia devices is increasing faster than ever. Estimating the performance of such applications when they are running on sha...
Akash Kumar, Bart Mesman, Henk Corporaal, Bart D. ...
SI3D
2005
ACM
15 years 3 months ago
Adaptive sampling of intersectable models exploiting image and object-space coherence
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...
Anders Adamson, Marc Alexa, Andrew Nealen
CEC
2010
IEEE
14 years 11 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...