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Un algoritmo para el entrenamiento de máquinas de vector soporte para regresiónUn algoritmo para el entrenamiento de máquinas de vector soporte para regresión
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2000)
Camera and laser range finder fusion for real-time car detection
(10/29/2014)
This paper describes a car detection method by combining data obtained from a laser and a camera. Data from the camera and the laser range finder (LRF) are combined after a calibration method has been performed. The ...
Partially obscured human detection based on component detectors using multiple feature descriptors
(2014-08-03)
This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents ...
American option pricing with machine learning: An extension of the Longstaff-Schwartz method
(Lociedade Brasileira de Finanças, 2021)
Uma Introdução às Support Vector Machines
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2007)
Optimización de Support Vector Machine mediante metaheurísticas para clasificación de retinopatia diabética
(Sociedad Argentina de Informática, 2020)
La máquina de vectores de soporte (SVM, Support Vector Machine) es una técnica de clasificación de aprendizaje supervisado, ampliamente utilizada en diferentes campos de aplicación. SVM busca identificar el mejor hiperplano ...
Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds
(Pergamon-Elsevier Science Ltd, 2018-04)
Background: Muscle activation level is currently being captured using impractical and expensive devices which make their use in telemedicine settings extremely difficult. To address this issue, a prototype is presented of ...
Optimized complex power quality classifier using one vs. rest support vector machine
(Scientific Research Publishing, 2017-09)
Nowadays, power quality issues are becoming a significant research topic because of the increasing inclusion of very sensitive devices and considerable renewable energy sources. In general, most of the previous power quality ...