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LinkedIn2y
Multiclass SVM: How to Implement It in Python - LinkedIn
This approach can be implemented using the sklearn.svm.SVC class in Python, by setting the decision_function_shape parameter to 'ovo'. Add your perspective Help others by sharing more (125 ...
GitHub1y
Wave-SVM - Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach
Main_Wave_SVM.m: This is the main file of Wave-SVM. To utilize this code, you simply need to import the data and execute this script. Within the script, you will be required to provide values for ...
GitHub1y
GitHub - jElhamm/Multiclass-SVM-Softmax-Classifier: "This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are ...
The MulticlassSVM class provides the loss function and gradient computation for the multiclass SVM classifier. It has the following method: loss(X, y, W, reg): Computes the loss and gradient of the ...
IEEE3mon
A multiclass decision rule minimizing a loss function based on one class SVM | IEEE Conference Publication | IEEE Xplore
A multiclass algorithm based on nu-1-SVM which minimizes a loss function is introduced. The loss function allows to use decision costs which depend on the classes, and to consider partial and total ...
marktechpost1y
Researchers from Tsinghua University Proposes a Novel Slide Loss Function to Enhance SVM Classification for Robust Machine Learning - MarkTechPost
Traditional loss functions used in SVM, such as the hinge loss and the 0/1 loss, are pivotal for formulating the SVM optimization problem but falter when data is not linearly separable. They also ...