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A new boosting design of Support Vector Machine classifiers

Autor desconocido (Elsevier, 2015)

Boosting algorithms pay attention to the particular structure of the training data when learning, by means of iteratively emphasizing the importance of the training samples according to their difficulty for being correctly ...

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)

Characterization of texture in image of skin lesions by support vector machine

Universidade Estadual Paulista (Unesp); Universidade Do Porto (2012-11-19)

Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...

Characterization of texture in image of skin lesions by support vector machine

Universidade Estadual Paulista (Unesp); Universidade Do Porto (2012-11-19)

Characterization of texture in image of skin lesions by support vector machine

Oliveira, Roberta B.; Caldas Jr., Carlos Roberto D.; Pereira, Aledir S.; Guido, Rodrigo C.; Araujo, Alex F. de; Tavares, João Manuel R. S.; Rossetti, Ricardo B. (2014)

[pt] APRENDIZADO DE MÁQUINA PARA O PROBLEMA DE SENTIMENT CLASSIFICATION[en] MACHINE LEARNING FOR SENTIMENT CLASSIFICATION

PEDRO OGURI

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A new boosting design of Support Vector Machine classifiers

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

Characterization of texture in image of skin lesions by support vector machine

Characterization of texture in image of skin lesions by support vector machine

Characterization of texture in image of skin lesions by support vector machine

[pt] APRENDIZADO DE MÁQUINA PARA O PROBLEMA DE SENTIMENT CLASSIFICATION[en] MACHINE LEARNING FOR SENTIMENT CLASSIFICATION

Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina

Harmony Search applied for Support Vector Machines Training Optimization

A Social-Spider Optimization Approach for Support Vector Machines Parameters Tuning

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A new boosting design of Support Vector Machine classifiers

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

Characterization of texture in image of skin lesions by support vector machine

Characterization of texture in image of skin lesions by support vector machine

Characterization of texture in image of skin lesions by support vector machine

[pt] APRENDIZADO DE MÁQUINA PARA O PROBLEMA DE SENTIMENT CLASSIFICATION[en] MACHINE LEARNING FOR SENTIMENT CLASSIFICATION

Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina

Harmony Search applied for Support Vector Machines Training Optimization

A Social-Spider Optimization Approach for Support Vector Machines Parameters Tuning