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Parallel evaluation of Pittsburgh rule-based classifiers on GPUs 

Cano, Alberto; Zafra, Amelia; Ventura Soto, S. (2017-01-19)
Individuals from Pittsburgh rule-based classifiers represent a complete solution to the classification problem and each individual is a variable-length set of rules. Therefore, these systems usually demand a high level ...
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Speeding Up Evolutionary Learning Algorithms using GPUs 

Cano, Alberto; Zafra, Amelia; Ventura Soto, S. (ESTYLF, 2010)
This paper propose a multithreaded Genetic Programming classi cation evaluation model using NVIDIA CUDA GPUs to reduce the computational time due to the poor perfor- mance in large problems. Two di erent clas- si ...

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AuthorCano, Alberto (2)
Ventura Soto, S. (2)
Zafra, Amelia (2)
Subject
GPUs (2)
Classification (1)CUDA (1)Genetic programming (1)Parallel computing (1)Pittsburgh (1)Rule sets (1)... View MoreDate Issued2017 (1)2010 (1)

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© Biblioteca Universidad de Córdoba
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