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Multi-class classification SVM methodsSupport Vector Machine (SVM) was first proposed by Cortes and Vapnik in 1995. It is developed from
An ensemble method based on rotation calibrated least squares support vector machine for multi-source data classification-source optical-radar data. The proposed method was actually inspired by the rotation-based support vector machine
Breast Cancer Detection Via Wavelet Energy and Support Vector Machine, while re-use data grouping function of support vector machine (SVM), then algorithm would accurately
Speech emotion recognition using SVM classifier with suprasegmental MFCC features coefficients (MFCCs) and
Support Vector Machines (SVMs) classifier on the RAVDESS
dataset. We
Persian text classification using naive bayes algorithms and support vector machine algorithm vector results from traditional feature selection methods, most of the proposed text classification
Анализ землепользования и температуры поверхности земли по спутниковым изображениям города Мендефера, 2002, 2012 and 2022 using Supervised Support Vector Machine (SVM). The study area was classified
Fully polarimetric synthetic aperture radar data classification using probabilistic and non-probabilistic kernel methods for this purpose. The most famous kernel method, i.e., the support vector machine (SVM) has been widely used
Prediction of Aromatic Hydroxylation Sites for Human CYP1A2 Substrates Using Condensed Graph of Reactions vector machine and condensed graph of reaction (CGR) approaches have been used to predict
Analysis of support vector machine based decoding algorithm for bose-chaudhuri-hocquenghem codes, it has been suggested to apply Support Vector
Machine (SVM), machine learning classification
Research on gesture recognition based on support vector machine and SVM model with gesture classification recognition as the target. The method adopts bilateral filtering
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