Documentos de Areiza-Laverde H.J. | REDI

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Mostrando 2 resultados de: 2

Filtros aplicados

Palabras Claves: "Multimodality"

Subtipo de publicación

Conference Object(1)

Publisher

Communications in Computer and Information Science(1)

Sensors (Switzerland)(1)

Área temáticas

Programación informática, programas, datos, seguridad(2)

Biblioteconomía y Documentación informatica(1)

Funcionamiento de bibliotecas y archivos(1)

Área de conocimiento

Aprendizaje automático(2)

Año de Publicación

Origen

Palabras Claves

multiple kernel learning(2)

Machine learning(1)

SUPPORT VECTOR MACHINES(1)

Source selection(1)

A novel method for objective selection of information sources using multi-kernel SVM and local scaling

Abstract: Advancement on computer and sensing technologies has generated exponential growth in the data availa

Palabras claves:

Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINES

A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.

Feature group selection using mkl penalized with ℓ<inf>1</inf> -norm and svm as base learner

Conference Object

Abstract: Objective feature selection is an important component in the machine learning framework, which has a

Palabras claves:

feature selection, Group LASSO, Multimodality, multiple kernel learning, sparsity

A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M.