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COOPIS
2004
IEEE
15 years 7 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
132
Voted
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 7 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
AISC
2008
Springer
15 years 5 months ago
Strategies for Solving SAT in Grids by Randomized Search
Grid computing offers a promising approach to solving challenging computational problems in an environment consisting of a large number of easily accessible resources. In this pape...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
HAIS
2010
Springer
15 years 5 months ago
Analysing the Low Quality of the Data in Lighting Control Systems
Energy efficiency represents one of the main challenges in the engineering field, i.e., by means of decreasing the energy consumption due to a better design minimising the energy ...
José Ramón Villar, Enrique A. de la ...
118
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BIRTHDAY
2008
Springer
15 years 5 months ago
From Domain to Requirements
This is a discursive paper. That is, it shows some formulas (but only as examples so that the reader may be convinced that there is, perhaps, some substance to our claims), no theo...
Dines Bjørner