Results 41 to 50 of about 350,996 (311)
Classification of corn kernels grades using image analysis and support vector machine
Advances in Mechanical Engineering, 2018 In order to classify the quality of corn kernels in an affordable, convenient, and accurate manner, a method based on image analysis and support vector machine is proposed.
Ang Wu +7 more
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BSP-Based Support Vector Regression Machine Parallel Framework [PDF]
International Journal of Networked and Distributed Computing (IJNDC), 2013 In this paper, we investigate the distributed parallel Support Vector Machine training strategy, and then propose a BSP-Based Support Vector Regression Machine Parallel Framework which can implement the most of distributed Support Vector Regression ...
Hong Zhang, Yongmei Lei
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Oblique Support Vector Machines
Informatica, 2005 In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principle of OSVMs is joining an orthogonal vector into weight vector in order to rotate the support hyperplanes.
Chih-Chia Yao, Pao-Ta Yu
openaire +3 more sources
Support vector machine classification of streptavidin-binding aptamers. [PDF]
PLoS ONE, 2014 BACKGROUND:Synthesizing and characterizing aptamers with high affinity and specificity have been extensively carried out for analytical and biomedical applications.
Xinliang Yu, Yixiong Yu, Qun Zeng
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Twin Support Vector Machine: A review from 2007 to 2014
Egyptian Informatics Journal, 2015 Twin Support Vector Machine (TWSVM) is an emerging machine learning method suitable for both classification and regression problems. It utilizes the concept of Generalized Eigen-values Proximal Support Vector Machine (GEPSVM) and finds two non-parallel ...
Divya Tomar, Sonali Agarwal
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Least Squares Support Vector Machine for Minimizing VC Dimensional Expectation Upper Bound [PDF]
Jisuanji kexue yu tansuo, 2023 Machine learning is an important aspect of modern computer technology, and the support vector machine method has been widely used in all walks of life because of its good performance in recent years.
LI Hao, WANG Shitong
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General support vector representation machine for one-class classification of non-stationary classes [PDF]
, 2008 Novelty detection, also referred to as one-class classification, is the process of detecting 'abnormal' behavior in a system by learning the 'normal' behavior.
Fatih Camci +3 more
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Data Selection for Support Vector Machine Classifiers
, 2000 The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classi er, is formulated as a concave minimization problem and solved by a nite number of linear programs.
Olvi L. Mangasarian +3 more
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Vector machine techniques for modeling of seismic liquefaction data
Ain Shams Engineering Journal, 2014 This article employs three soft computing techniques, Support Vector Machine (SVM); Least Square Support Vector Machine (LSSVM) and Relevance Vector Machine (RVM), for prediction of liquefaction susceptibility of soil.
Pijush Samui
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Gaussian Pyramid for Nonlinear Support Vector Machine
Applied Computational Intelligence and Soft Computing, 2022 Support vector machine (SVM) is one of the most efficient machine learning tools, and it is fast, simple to use, reliable, and provides accurate classification results.
Rawan Abo Zidan, George Karraz
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