ListarDepartamento de Informática y Análisis Numérico por tema "Parallel computing"
Mostrando ítems 1-2 de 2
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Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
(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 ... -
Speeding up Multiple Instance Learning Classification Rules on GPUs
(2017)Multiple instance learning is a challenging task in supervised learning and data mining. How- ever, algorithm performance becomes slow when learning from large-scale and high-dimensional data sets. Graphics processing ...