A framework for online prediction using kernel adaptive filtering

Nowadays, the task of predicting in schemas online is an essential field of study for machine learning. The Filters Adaptive based on kernel methods have taken an essential role in this type of task; this is primarily due to their condition of universal approximation, their ability to solve nonlinea...

Full description

Autores:
León Gómez, Eder Arley
Tipo de recurso:
Work document
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
eng
OAI Identifier:
oai:repositorio.unal.edu.co:unal/75985
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/75985
Palabra clave:
620 - Ingeniería y operaciones afines
Machine learning
Forecasts
Kernel adaptative filtering
Dictionary
Learning rate
Kernel bandwidth
Clustering adaptive
Aprendizaje de máquina
Predicción
Filtros adaptativos Kernel
Diccionario
Tasa de aprendizaje
Ancho de banda del Kernel
Agrupamiento adaptativo
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional