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Espacios de Hilbert con Núcleo Reproductor

Authors: Girona Cutillas, Olga;

Espacios de Hilbert con Núcleo Reproductor

Abstract

A lo largo de este trabajo de fin de grado nos centraremos en el estudio de los espacios de Hilbert con nucleo reproductor y la aplicación de Máquinas de Vectores de Soporte (SVM).El trabajo comienza con una introducción al algoritmo SVM, proporcionando una visión más general de los objetivos que se abordarán a lo largo del trabajo. A continuación, se hará una introducción a los espacios de Hilbert, incluyendo concpetos fundamentales como el producto interno, ortogonalidad, teorema de Riesz. Además se estudiarán los espacios de Hilbert con núcleo reproductor, centrándonos en el método del núcleo, la separabilidad entre hiperplanos y el concepto de hiperplano de margen máximo. Por último, se aplica a un caso práctico real el algoritmo SVM utilizando el lenguaje de programación Python. El objetivo es resolver un problema de clasificación en el que se predente determinar si un estudiante se graduará o abandonará sus estudios.

Treball Final de Grau en Matemàtica Computacional. Codi: MT1054. Curs 2022-2023

Country
Spain
Related Organizations
Keywords

Método del núcleo, Núcleo reproductor, Hiperplano de margen máximo, Grau en Matemàtica Computacional, Bachelor's Degree in Computational Mathematics, Grado en Matemática Computacional, Espacios de Hilbert, Máquinas de Vector de Soporte.

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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
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