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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(9)
Applied Sciences (Switzerland)(3)
Communications in Computer and Information Science(3)
Expert Systems with Applications(3)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(3)
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Ciencias de la computación(22)
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Programación informática, programas, datos, seguridad(18)
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Aprendizaje automático(41)
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Mostrando 10 resultados de: 74
A Data-Driven Approach for Automatic Classification of Extreme Precipitation Events: Preliminary Results
Conference ObjectAbstract: Even though there exists no universal definition, in the South America Andean Region, extreme precipPalabras claves:Data Driven, Extreme precipitation, feature selection, forecasting, PCa, Relief, SVMAutores:D. Chaglla-Aguagallo, Diego Hernán Peluffo-Ordóñez, Escobar-González D., Juan González-VergaraFuentes:scopusA Hybrid Method for Characters Recognition using Ant Colony Feature Selection, KNN and Reducts
Conference ObjectAbstract: This work addresses the development of a hybrid method for feature selection and a strategy to classPalabras claves:ant colony feature selection, binary decision trees, exponential complexity, feature selection, handwritten characters recognition, pattern recognitionAutores:Cristhian Cola-Pilicita, Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:googlescopusA Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures
ArticleAbstract: Datasets with thousands of features represent a challenge for many of the existing learning methodsPalabras claves:feature selection, Machine learning, python frameworkAutores:Andrés Mendez-Vazquez, Calderon-Mora A., Garcia-Ramirez I.A., Ortega-Cisneros S., Reyes-Amezcua I.Fuentes:scopusA competitive neural network for multiple object tracking in video sequence analysis
Conference ObjectAbstract: Tracking of moving objects in real situation is a challenging research issue, due to dynamic changesPalabras claves:feature selection, Feature weigthing, Genetic Algorithms, Growing competitive neural networks, Multiple object trackingAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusA mixed learning strategy for finding typical testors in large datasets
Conference ObjectAbstract: This paper presents a mixed, global and local, learning strategy for finding typical testors in largPalabras claves:ALGORITHMS, feature selection, testor theoryAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., González-Guevara V., Julio Ibarra-FialloFuentes:scopusA novel approach to identify the spectral bands that predict moisture content in canola and wheat
ArticleAbstract: Due to the relevance of agriculture in economy and human development, the inclusion of technology inPalabras claves:deep learning, feature selection, Game theory, hyperspectral, Moisture Content, Plant phenotypingAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopusA statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
ArticleAbstract: Gearboxes are crucial devices in rotating power transmission systems with applications in a varietyPalabras claves:classification, Fault diagnosis, feature selection, gearbox, Neural networks, Statistic testsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA theoretical and practical framework for assessing the computational behavior of typical testor-finding algorithms
Conference ObjectAbstract: Although the general relevance of Testor Theory as the theoretical ground for useful feature selectiPalabras claves:feature selection, testor theory, Typical testor algorithmsAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., Julio Ibarra-FialloFuentes:scopusComparative analysis of automated classifiers applied to volcano event identification
Conference ObjectAbstract: The correct classification of several types of volcanic events can be used to determine the intrinsiPalabras claves:feature selection, Machine learning, signal classification, volcanic eventsAutores:Diego S. Benitez, Juan Francisco Morejon, Ricardo Carrera, Roman Lara-CuevaFuentes:googlescopusComparative study of data mining techniques to reveal patterns of academic performance in secondary education
ArticleAbstract: The data mining techniques allow for unveiling knowledge from large volumes of information, which haPalabras claves:Academic performance patterns, Classifiers, feature selection, matlab, Multiple classifierAutores:Ana C. Umaquinga-Criollo, Andrés M. Vargas-Muñoz, Diana C. Chamorro-Sangoquiza, Diego Hernán Peluffo-Ordóñez, Miguel A. BecerraFuentes:scopus