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EVOW
2009
Springer
14 years 7 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
CVIU
2011
14 years 1 months ago
A comparative study of object-level spatial context techniques for semantic image analysis
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
AOSD
2011
ACM
14 years 1 months ago
An aspect-oriented approach for implementing evolutionary computation applications
Object-oriented frameworks support design and code reuse for specific application domains. To facilitate the development of evolutionary computation (EC) programs, such as geneti...
Andres J. Ramirez, Adam C. Jensen, Betty H. C. Che...
PPDP
2005
Springer
15 years 3 months ago
Self-tuning resource aware specialisation for prolog
The paper develops a self-tuning resource aware partial evaluation technique for Prolog programs, which derives its own control strategies tuned for the underlying computer archit...
Stephen-John Craig, Michael Leuschel
FTDCS
1999
IEEE
15 years 2 months ago
PODC: Paradigm-Oriented Distributed Computing
We describe an environment for distributed computing that uses the concept of well-known paradigms. The main advantage of paradigmoriented distributed computing (PODC) is that the...
Hairong Kuang, Lubomir Bic, Michael B. Dillencourt...