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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 ...
An effective power quality classifier using wavelet transform and support vector machines
(Pergamon-Elsevier Science Ltd, 2015-09)
In this paper we propose a method based on a combination of binary classifiers which are optimized for those special cases where the real signals contain a multitude of events within the analyzed temporal window. These ...
Measuring time series predictability using support vector regression
(TAYLOR & FRANCIS INC, 2008)
Most studies involving statistical time series analysis rely on assumptions of linearity, which by its simplicity facilitates parameter interpretation and estimation. However, the linearity assumption may be too restrictive ...
Nonstationary regression with support vector machines
(Springer, 2014-10-07)
In this work, we introduce a method for data analysis in nonstationary environments: time-adaptive support vector regression (TA-SVR). The proposed approach extends a previous development that was limited to classification ...
Estimativa da radiação solar ultravioleta em Botucatu/SP/Brasil utilizando máquina de vetores de suporte (SVM)
(2013)
In this papper is evaluated the estimation of daily solar ultraviolet radiation (UV) using Support Vector Machine (SVM) in Botucatu/SP/Brazil. We tested five groups of input data containing different weather variables. A ...
Interior Proximal Algorithm with Variable Metric for Second-Order Cone Programming: Applications to Structural Optimization and Support Vector Machines
(Taylor & Francis, 2009-10)
In this work, we propose an inexact interior proximal-type algorithm for solving convex second-order cone programs. This kind of problem consists of minimizing a convex function (possibly nonsmooth) over the intersection ...
Wavelet-packets Associated with Support Vector Machine Are Effective for Monophone Sorting in Music Signals
(2019-09-01)
An abstract interpretation is usually required to analyze acoustic compositions. Nevertheless, there is much signal processing-related research focusing on music processing and similar topics. In that context, the semantic ...