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Improving the kernel regularized least squares method for small-sample regression
(ElsevierAmsterdam, 2015-09)
The kernel regularized least squares (KRLS) method uses the kernel trick to perform non-linear regression estimation. Its performance depends on proper selection of both a kernel function and a regularization parameter. ...
Nonparametric econometricsNonparametric econometrics
(Sociedade Brasileira de Econometria, 2002)
Density estimation via hybrid splines
(Gordon Breach Sci Publ LtdReadingInglaterra, 1998)
Scalable and interpretable kernel methods based on random Fourier features
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2023-03-29)
Kernel methods are a class of statistical machine learning models based on positive semidefinite kernels, which serve as a measure of similarity between data features. Examples of kernel methods include kernel ridge ...
AJUSTE DE CURVAS MEDIANTE MÉTODOS NO PARAMÉTRICOS PARA ESTUDIAR EL COMPORTAMIENTO DE CONTAMINACIÓN DEL AIRE POR MATERIAL PARTICULADO PM10 (CURVE FITTING NONPARAMETRIC METHODS FOR STUDYING BEHAVIOR FROM AIR POLLUTION PM10)
(Fondo Editorial EIA - Universidad EIA, 2013-09-27)
Uno de los principales agentes contaminantes del aire es el material particulado de diámetro aerodinámico inferior a 10 micrómetros, comúnmente conocido como PM10. Su comportamiento varía de forma irregular y temporal en ...
Análisis y uso de funciones de base radial como filtros interpoladores
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2009)
Análisis y uso de funciones de base radial como filtros interpoladores
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2009)
Evaluating different methods of microarray data normalization
(2006-10)
Abstract
Background
With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously ...
A framework for online prediction using kernel adaptive filtering
(Departamento de Ingeniería Eléctrica y ElectrónicaUniversidad Nacional de Colombia - Sede Manizales, 2019)
Nowadays, the task of predicting in schemas online is an essential field of study for machine learning. The Filters Adaptive based on kernel methods have taken an essential role in this type of task; this is primarily due ...