Results 31 to 40 of about 7,794,647 (291)

Extensions of the SVM Method to the Non-Linearly Separable Data [PDF]

Informatică economică, 2013
The main aim of the paper is to briefly investigate the most significant topics of the currently used methodologies of solving and implementing SVM-based classifier.
Luminita STATE, Catalina COCIANU, Cristian USCATU, Marinela MIRCEA   +3 more
doaj   +1 more source

Semismooth support vector machines [PDF]

Mathematical Programming, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael C. Ferris, Todd S. Munson
openaire   +2 more sources

Robust relative margin support vector machines

Journal of Algorithms & Computational Technology, 2017
Recently, a class of classifiers, called relative margin machine, has been developed. Relative margin machine has shown significant improvements over the large margin counterparts on real-world problems.
Yunyan Song, Wenxin Zhu, Yingyuan Xiao, Ping Zhong   +3 more
doaj   +1 more source

The complexity of quantum support vector machines [PDF]

Quantum
Quantum support vector machines employ quantum circuits to define the kernel function. It has been shown that this approach offers a provable exponential speedup compared to any known classical algorithm for certain data sets. The training of such models
Gian Gentinetta, Arne Thomsen, David Sutter, Stefan Woerner   +3 more
doaj   +1 more source

Support Vector Machines for Credit Scoring and discovery of significant features [PDF]

, 2009
The assessment of risk of default on credit is important for financial institutions. Logistic regression and discriminant analysis are techniques traditionally used in credit scoring for determining likelihood to default based on consumer application and
Crook, Jonathan, Bellotti, Tony
core   +1 more source

Coupled Least Squares Support Vector Ensemble Machines

Information, 2019
The least squares support vector method is a popular data-driven modeling method which shows better performance and has been successfully applied in a wide range of applications.
Dickson Keddy Wornyo, Xiang-Jun Shen
doaj   +1 more source

Parallelizing support vector machines for scalable image annotation [PDF]

, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
core   +7 more sources

Cascade Support Vector Machines with Dimensionality Reduction

Applied Computational Intelligence and Soft Computing, 2015
Cascade support vector machines have been introduced as extension of classic support vector machines that allow a fast training on large data sets. In this work, we combine cascade support vector machines with dimensionality reduction based preprocessing.
Oliver Kramer
doaj   +1 more source

Selection of Support Vector Candidates Using Relative Support Distance for Sustainability in Large-Scale Support Vector Machines

Applied Sciences, 2020
Support vector machines (SVMs) are a well-known classifier due to their superior classification performance. They are defined by a hyperplane, which separates two classes with the largest margin.
Minho Ryu, Kichun Lee
doaj   +1 more source

Boosting Support Vector Machines [PDF]

Revista de Ingeniería, 2006
En este articulo, se presenta un algoritmo de clasificacion binaria basado en Support Vector Machines (Maquinas de Vectores de Soporte) que combinado apropiadamente con tecnicas de Boosting consigue un mejor desempeno en cuanto a tiempo de entrenamiento y conserva caracteristicas similares de generalizacion con un modelo de igual complejidad pero de ...
Elkin García, Fernando Lozano
openaire   +2 more sources