Shen "Design efficient support vector machine for fast classification", Pattern Recognit. , vol. 38, no. 1, pp.157 -161 2005Yiqiang Zhan , Dinggang Shen, Rapid and brief communication: Design
ClassificationECOC is an error-correcting output codes (ECOC) classifier for multiclass learning, where the classifier consists of multiple binary learners such as support vector machines (SVMs). Trained ClassificationECOC classifiers store training data, parameter values, prior probabilities, and coding ...
Support Vector Machines for Binary Classification Understanding Support Vector Machines Separable Data Nonseparable Data Nonlinear Transformation with Kernels Separable Data You can use a support vector machine (SVM) when your data has exactly two classes. An SVM classifies data by finding the best ...
Support Vector Machine (SVM) is a classification algorithm that assigns data to one category or the other based on the training data. This algorithm implements linear SVM, which is highly scalable.You can use the following functions to train the SVM model, and use t...
ClassificationSVM is a support vector machine (SVM) classifier for one-class and two-class learning.
fitcsvm trains or cross-validates a support vector machine (SVM) model for one-class and two-class (binary) classification on a low-dimensional or moderate-dimensional predictor data set. fitcsvm supports mapping the predictor data using kernel functions, and supports sequential minimal optimization (...
3.5.2 Support vector machine Support vector machine is a computational learning method based on statistical learning theory. In recent years, SVM has emerged as a powerful tool for classification and regression problems. In SVM, the input features are mapped into higher dimensional dot product space...
fitcsvm trains or cross-validates a support vector machine (SVM) model for one-class and two-class (binary) classification on a low-dimensional or moderate-dimensional predictor data set.
ClassificationSVM PredictClassify observations using support vector machine (SVM) classifier for one-class and binary classification(Since R2020b) ClassificationECOC PredictClassify observations using error-correcting output codes (ECOC) classification model(Since R2023a) ...
DNV Rules for Classification of Offshore Drilling and Support Units Fuzzy support vector machines for multilabel classification SSVM A Smooth Support Vector Machine for Classification Logistic regression for data mining and high-dimensional classification DNV-OSS-101 Rules for Classification of Offshore Dr...