Browsing Producción Científica by Author "Zafra, Amelia"
Now showing items 1-4 of 4
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A Classification Module for Genetic Programming Algorithms in JCLEC
Cano, Alberto; Luna, J.M.; Zafra, Amelia; Ventura Soto, S. (MIT Press, 2014)JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ... -
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 ... -
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 ... -
Speeding up Multiple Instance Learning Classification Rules on GPUs
Cano, Alberto; Zafra, Amelia; Ventura Soto, S. (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 ...