IEEE

Two-Layer SVM, Towards Deep Statistical Learning

Abstract: Support Vector Machine (SVM) is originally a binary large-margin classifier emerged from the concept of structural risk minimization. Multiple solutions such as one-versus-one and one-versus ...
IEEE

F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation

Abstract: The generalization error bound of the support vector machine (SVM) depends on the ratio of the radius and margin. However, conventional SVM only considers ...
IEEE

Comparison of SVM and LS-SVM for Regression

Abstract: Support vector machines (SVM) has been widely used in classification and nonlinear function estimation. However, the major drawback of SVM is its higher computational burden for the ...
MarketWatch

Silvercorp Metals Inc.

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GitHub

Build and evaluate various machine learning classification models using Python.

Logistic regression is a classification algorithm, used when the value of the target variable is categorical in nature. Just like Linear regression assumes that the data follows a linear function, ...
GitHub

Python Imaging Library (Fork)

Pillow is the friendly PIL fork by Jeffrey A. Clark and contributors. PIL is the Python Imaging Library by Fredrik Lundh and contributors. As of 2019, Pillow development is supported by Tidelift. The ...