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» Introduction to Functional Programming
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CF
2005
ACM
15 years 8 months ago
Exploiting processor groups to extend scalability of the GA shared memory programming model
Exploiting processor groups is becoming increasingly important for programming next-generation high-end systems composed of tens or hundreds of thousands of processors. This paper...
Jarek Nieplocha, Manojkumar Krishnan, Bruce Palmer...
DMIN
2006
142views Data Mining» more  DMIN 2006»
15 years 8 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
CCGRID
2010
IEEE
15 years 7 months ago
Streamflow Programming Model for Data Streaming in Scientific Workflows
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
Chathura Herath, Beth Plale
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 7 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
PRL
2002
213views more  PRL 2002»
15 years 6 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...