Buscar
Mostrando ítems 21-30 de 4639
Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Prediction of protein-protein interactions through support vector machines
(Instituto Tecnológico MetropolitanoFacultad de Ciencias Exactas y AplicadasIngeniería BiomédicaInstituto Tecnológico Metropolitano, 2015)
En este artículo, se implementa un método basado en SVM para
la predicción de interacciones proteína-proteína. Este modelo es
inicialmente entrenado con un conjunto de más de 69.000 pares de secuencias de proteínas
basado ...
Aumento do desempenho da support vector machine através de técnicas de paralelização de código em gpu
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2014-07-09)
The Support Vector Machine is a data classification method that has presented an increase
in terms of its popularity. This increase is mainly due to the publication of LIBSVM,
a library that implements Support Vector ...
Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations
(2012-12-01)
The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as ...
Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations
(2012-12-01)
The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as ...
Time–Adaptive Support Vector Machines
(Asociación Española de Inteligencia Artificial, 2011)
Abrupt change detection with One-Class Time-Adaptive Support Vector Machines
(Elsevier, 2013-12-15)
We recently introduced an algorithm for training a sequence of coupled Support Vector Machines which shows promising results in the field of non-stationary classification problems Grinblat, Uzal, Ceccatto, and Granitto ...
A snoring classifier based on heart rate variability analysis
(2011-12-01)
The effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night ...