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Heurísticas en la Optimización de Máquinas de Soporte Vectorial

Authors: García Gamboa, Angel L.;

Heurísticas en la Optimización de Máquinas de Soporte Vectorial

Abstract

Gracias a los avances tecnológicos presentes en la actualidad se ha impulsado el estudio de aplicaciones y técnicas de clasificación de datos. El problema de clasificación de datos surge a partir de la necesidad de categorizar información presente en la vida real como caras, texto, enfermedades, mÚsica, etc. Actualmente existen diversas comunidades de investigación que trabajan en el desarrollo de aplicaciones que requieren clasificación de datos convirtiéndose en una de las principales áreas de estudio para la inteligencia artificial.

Country
Mexico
Keywords

Heurísticas, Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences, Ciencias Computacionales, Soporte Vectorial, Optimización de Maquinas

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green