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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. ...
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 ...
Regularización y métodos Kernel para algoritmos de clasificación
(2010)
Este trabajo es el resultado de estudio de las técnicas de regularización y métodos Kernel empleados para algoritmos de clasificación. El método Mínimos Cuadrados Regularizados RLSC requiere la solución de un único problema ...
Gradient Hyper-parameter Optimization For Manifold Regularization
(IEEE Computer Society, 2013)
Relevant multichannel time series representation based on functional measures in RKHS
(Manizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - AutomáticaDepartamento de Ingeniería Eléctrica y ElectrónicaUniversidad Nacional de Colombia - Sede Manizales, 2020)
Kernels methods provide a powerful and unifying framework to solve nonlinear problems while retaining in many cases, the simplicity of linear solutions. However, in machine learning and kernels methods, data is assumed to ...
Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods
(2021-02-01)
This study aimed to assess the predictive ability of different machine learning (ML) methods for genomic prediction of reproductive traits in Nellore cattle. The studied traits were age at first calving (AFC), scrotal ...
An information theoretic learning framework based on Renyi’s α entropy for brain effective connectivity estimation
(Universidad Tecnológica de PereiraFacultad de IngenieríasPereiraDoctorado en Ingeniería, 2022)
Applying machine learning methods for genomic analysis of reproductive traits in Nellore cattle
(Universidade Estadual Paulista (Unesp), 2019-12-28)
A seleção de animais geneticamente superiores com base na informação genômica tem sido uma tendência crescente e promissora em programas de melhoramento. No entanto, os principais métodos de predição genômica envolvem ...
Multimodal non-linear latent semantic method for information retrieval
(Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónUniversidad Nacional de Colombia - Sede Bogotá, 2019-10-31)
La búsqueda y recuperación de datos multimodales es una importante tarea dentro del campo de búsqueda y recuperación de información, donde las consultas y los elementos de la base de datos objetivo están representados por ...
Development of a methodology for the diagnosis of internal combustion engines using non-invasive measurements based on the use of interpretable neural networks applicable to databases with multiple annotators
(Universidad Tecnológica de PereiraFacultad de IngenieríasPereiraMaestría en Ingeniería Eléctrica, 2022)