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https://www.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html
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.
https://www.mathworks.com/matlabcentral/answers/70943-how-can-i-use-fuzzy-support-vector-machine-for-emg-signal-classification
Apr 08, 2013 · How can i use Fuzzy support vector machine for... Learn more about fuzzy support vector machine, classification
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849760/
Experiment 4: as an instance of the rule-base generated by fuzzy support vector machine, we first apply SNR feature selection method on leukemia dataset and select three genes and then we set up fuzzy support vector machine classifier on those genes. We explore some characteristics of the model by taking a deeper look at the rule-base.Cited by: 10
https://www.researchgate.net/post/Can_anyone_help_with_fuzzy_SVM_in_MATLAB
MATLAB (and custom-built toolboxes/library usually freely available) has been used to implement FSVM, such as in "Using Fuzzy Support Vector Machine Network to Predict Low Homology Protein ...
https://www.mathworks.com/academia/books/learning-and-soft-computing-kecman.html
The fundamental approaches and concepts common to neural networks, support vector machines, and fuzzy logic are discussed individually and as a connected whole. The theory presented in each chapter is reinforced with practical examples, exercises, and simulation experiments. ... Teaching materials based on MATLAB and Simulink.
https://stevenschwenke.de/node/project_fuzzy_support_vector_machine
Introduction As mentioned in the other sections, this project is my first in the field of Machine Learning. Basically, this program is an implementation of the papers [1] and [2]. The considered papers contributed to the task of rule extraction from Support Vector Machines (SVM). Therefore, [2] creates SVFI (Support Vector Fuzzy Inference) rules based on support vectors of a
https://www.researchgate.net/publication/256309499_Fuzzy_Support_Vector_Machines
Support vector machine for classification based on fuzzy training data. Expert Systems with Applications 37(4), 3495–3498]. The authors have claimed that their proposed program is a classical ...
https://ieeexplore.ieee.org/document/991432/
Fuzzy support vector machines Abstract: A support vector machine (SVM) learns the decision surface from two distinct classes of the input points. In many applications, each input point may not be fully assigned to one of these two classes. In this paper, we apply a fuzzy membership to each input point and reformulate the SVMs such that ...Cited by: 1589
https://www.mathworks.com/help/stats/support-vector-machine-classification.html
Train Support Vector Machines Using Classification Learner App. Create and compare support vector machine (SVM) classifiers, and export trained models to make predictions for new data. Support Vector Machines for Binary Classification. Perform binary classification via SVM using separating hyperplanes and kernel transformations.fitcsvm: Train binary support vector machine (SVM) classifier
https://www.researchgate.net/publication/311928183_Support_vector_machine_and_fuzzy_logic
The article gives a short description of the history of the Support Vector Machine (SVM) method and fuzzy logic and their main parameters. It describes how SVM can be used for classification and ...
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