Buscar
Mostrando ítems 31-40 de 1349
Automatic Feature Scaling and Selection for Support Vector Machine Classi cation with Functional Data
(Springer, 2020)
Functional Data Analysis (FDA) has become a very important eld
in recent years due to its wide range of applications. However, there are several
real-life applications in which hybrid functional data appear, i.e., data ...
Improved voice activity detection algorithm using wavelet and support vector machine
(ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2010)
This paper proposes an improved voice activity detection (VAD) algorithm using wavelet and support vector machine (SVM) for European Telecommunication Standards Institution (ETS1) adaptive multi-rate (AMR) narrow-band (NB) ...
Pattern classification with mixtures of weighted least-squares support vector machine experts
(SpringerNew YorkEUA, 2009)
Evolutionary tuning of SVM parameter values in multiclass problems
(ELSEVIER SCIENCE BV, 2008)
Support vector machines (SVMs) were originally formulated for the solution of binary classification problems. In multiclass problems, a decomposition approach is often employed, in which the multiclass problem is divided ...
Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty
(Springer, 2017)
This paper presents a novel embedded feature selection approach for Support Vector Machines (SVM) in a choice-based conjoint context. We extend the L1-SVM formulation and adapt the RFE-SVM algorithm to conjoint analysis ...