Results 21 to 30 of about 725,482 (185)
L2P-Norm Distance Twin Support Vector Machine
IEEE Access, 2017 A twin support vector machine (TWSVM) is an effective classifier, especially for binary data, which is defined by squared l2-norm distance in the objective function.
Xu Ma, Qiaolin Ye, He Yan
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A Multiclass Nonparallel Parametric-Margin Support Vector Machine
Information, 2021 The twin parametric-margin support vector machine (TPMSVM) is an excellent kernel-based nonparallel classifier. However, TPMSVM was originally designed for binary classification, which is unsuitable for real-world multiclass applications. Therefore, this
Shu-Wang Du +5 more
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Support Vector Machine State Estimation
Applied Artificial Intelligence, 2019 The power system state estimator based on the support vector machine (SVM) and the weighted least squares (WLS) method is presented in the paper. The WLS provides state estimations necessary for creating SVM model which is then used for state estimation.
Vedran Kirinčić +3 more
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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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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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Digital Signal Processing 70 (2017) 59-72, 2017 We generalize a support vector machine to a support spinor machine by using the mathematical structure of wedge product over vector machine in order to extend field from vector field to spinor field. The separated hyperplane is extended to Kolmogorov space in time series data which allow us to extend a structure of support vector machine to a support ...
arxiv +1 more source
Comment on "Support Vector Machines with Applications" [PDF]
Statistical Science 2006, Vol. 21, No. 3, 337-340, 2006 Comment on ``Support Vector Machines with Applications'' [math.ST/0612817]
arxiv +2 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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KLASIFIKASI PENYAKIT SIROSIS MENGGUNAKAN SUPPORT VECTOR MACHINE
E-Jurnal Matematika, 2023 Cirrhosis is one type of liver disease and is caused by forming fibrosis so that changes the liver structure become abnormal. Based on the presence of ascites, varicose veins, and bleeding, cirrhosis is divided into four clinical stages.
VANIA RISKASARI YR +2 more
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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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