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Mostrando ítems 141-150 de 256
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 ...
Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels
(2017)
CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof-
the-art algorithms for discretizing data for which classes are known. However, it
may take a long time when run on high-dimensional large-scale ...
Speeding Up Evolutionary Learning Algorithms using GPUs
(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 ...
Modelos genéricos para la predicción de las notas finales en cursos a partir de la información de interacción de los estudiantes con el sistema Moodle
(Universidad de Córdoba, UCOPress, 2021)
Esta tesis propone el desarrollo de modelos genéricos de predicción del rendimiento académico de los estudiantes en Sistemas de Aprendizaje en Línea que puedan ser portados o transferidos a otros cursos o asignaturas ...
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA!
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2006)
En este artículo presentamos Test Editor, una herramienta autor para la construcción de test
informatizados, tanto clásicos como adaptativos, a través del Web. Esta herramienta facilita el desarrollo y
mantenimiento de ...
SWFAD-IOT: Sistema de Apoyo a la Docencia en un Entorno IoT
(UCOPress, 2019)
El presente trabajo muestra el desarrollo e implementación de un sistema de apoyo a la docencia mediante la web física en un entorno del Internet de las Cosas (IoT). El sistema está orientado al desarrollo de actividades ...
Graph-Based Feature Selection Approach for Molecular Activity Prediction
(ACS, 2022)
In the construction of QSAR models for the prediction of molecular activity, feature selection is a common task aimed at improving the results and understanding of the problem. The selection of features allows elimination ...
Asymmetries of the Muscle Mechanical Properties of the Pelvic Floor in Nulliparous and Multiparous Women, and Men: A Cross-Sectional Study
(MDPI, 2022)
This study aimed to identify if the muscle mechanical properties (MMPs) of both sides of pelvic floor muscles (PFMs) are symmetrical in different populations of both sexes. Between-sides comparisons of MMPs of PFMs, assessed ...