Results 21 to 30 of about 937,595 (329)
Quantum-Enhanced Support Vector Machine for Sentiment Classification
IEEE Access, 2023 Quantum computers have potential computational abilities such as speeding up complex computations, parallelism by superpositions, and handling large data sets. Moreover, the field of natural language processing (NLP) is rapidly attracting researchers and
Fariska Zakhralativa Ruskanda +4 more
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MRI brain classification using support vector machine [PDF]
, 2011 The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images ...
Abdullah, N. B. +2 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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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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Model Selection for Support Vector Machine Classification [PDF]
, 2002 We address the problem of model selection for Support Vector Machine (SVM) classification. For fixed functional form of the kernel, model selection amounts to tuning kernel parameters and the slack penalty coefficient $C$.
Burges +22 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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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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