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Forecasting of Multiple Points in Time Series with Support Vector MachinesPredicción de Múltiples Puntos de Series de Tiempo Utilizando Support Vector Machines

BAUTISTA THOMPSON, E.; FIGUEROA NAZUNO, J.; GUZMÁN RAMIREZ, E. (Computación y Sistemas, 2009)

A Generalized Lagrange Multiplier Method for Support Vector Regression with Imposed Symmetry

Guerrero-Montaño, Luis A. (ITESO, 2022-11)

Comparing support vector machine contextual approaches for urban area classification

Universidade Estadual Paulista (Unesp); INPE - Inst. Nacional de Pesquisas Espaciais (2016-05-03)

Support vector machine (SVM) has been receiving a great deal of attention for remote sensing data classification. Although the original formulation of this method does not incorporate contextual information, lately different ...

A comprehensive survey on support vector machine classification: Applications, challenges and trends

Cervantes, Jair; GARCIA LAMONT, FARID; Rodriguez Mazahua, Lisbeth; Lopez, Asdrubal (Neurocomputing, 2020)

Redefining support vector machines with the ordered weighted average

Maldonado, Sebastián; Merigó Lindahl, José; Miranda Pino, Jaime (Elsevier, 2018)

In this work, the classical soft-margin Support Vector Machine (SVM) formulation is redefined with the inclusion of an Ordered Weighted Averaging (OWA) operator. In particular, the hinge loss function is rewritten as a ...

A snoring classifier based on heart rate variability analysis

University of Macau; Technical University of Lisbon; Universidade Estadual Paulista (Unesp) (2011-12-01)

The effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night ...

A snoring classifier based on heart rate variability analysis

University of Macau; Technical University of Lisbon; Universidade Estadual Paulista (Unesp) (2011-12-01)

Prediction of protein-protein interactions through support vector machines

Arango RodrÍguez, Julián David (Instituto Tecnológico MetropolitanoFacultad de Ciencias Exactas y AplicadasIngeniería BiomédicaInstituto Tecnológico Metropolitano, 2015)

En este artículo, se implementa un método basado en SVM para la predicción de interacciones proteína-proteína. Este modelo es inicialmente entrenado con un conjunto de más de 69.000 pares de secuencias de proteínas basado ...

Learning kernels for support vector machines with polynomial powers of sigmoid

Universidade Federal de São Carlos (UFSCar); Universidade do Estado de Mato Grosso (UNEMAT); Universidade Estadual de Campinas (UNICAMP); Universidade Estadual Paulista (Unesp) (Ieee, 2014-01-01)

In the pattern recognition research field, Support Vector Machines (SVM) have been an effectiveness tool for classification purposes, being successively employed in many applications. The SVM input data is transformed into ...

A Novel SVM Voltage Supervisor

Rodríguez-García, Francisco J. (ITESO, 2021)

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Forecasting of Multiple Points in Time Series with Support Vector MachinesPredicción de Múltiples Puntos de Series de Tiempo Utilizando Support Vector Machines

A Generalized Lagrange Multiplier Method for Support Vector Regression with Imposed Symmetry

Comparing support vector machine contextual approaches for urban area classification

A comprehensive survey on support vector machine classification: Applications, challenges and trends

Redefining support vector machines with the ordered weighted average

A snoring classifier based on heart rate variability analysis

A snoring classifier based on heart rate variability analysis

Prediction of protein-protein interactions through support vector machines

Learning kernels for support vector machines with polynomial powers of sigmoid

A Novel SVM Voltage Supervisor