Gabriel Peyré on Twitter: "Oldies but goldies: B. Boser, I. Guyon, V. Vapnik, A Training Algorithm for Optimal Margin Classifiers, 1992. Introduced practical large-margin SVM classification together with kernelization. https://t.co/kcR0unUgw0 https://t ...
Support Vector Machine | Encyclopedia MDPI
Machine Learning Algorithms Explained: Support Vector Machine - StrataScratch
What is a Support Vector Machine? - Datatron
Margin (machine learning) - Wikipedia
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Support Vector Machine (SVM) Algorithm - Javatpoint
Support Vector Machine (SVM). Support Vector Machine algorithm… | by Vivek Salunkhe | Medium
Guide to Support Vector Machine (SVM) Algorithm
Support Vector Machines
Large margin classification using the perceptron algorithm | Proceedings of the eleventh annual conference on Computational learning theory
Support Vector Machines for Binary Classification - MATLAB & Simulink
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PDF) A Training Algorithm for Optimal Margin Classifier
Machine Learning Quiz 03: Support Vector Machine | by Md Shahidullah Kawsar | Medium
Global-local least-squares support vector machine (GLocal-LS-SVM) | PLOS ONE
Frontiers | Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems
Demystifying Maths of SVM — Part 1 | by Krishna Kumar Mahto | Towards Data Science
Support Vector Machines — Soft Margin Formulation and Kernel Trick | by Rishabh Misra | Towards Data Science
A Comparative Study of Training Algorithms for Supervised Machine Learning | Semantic Scholar
Efficient Kernel Selection - ppt download
Support Vector Machines Important Questions | by Meghashyam Chinta | DataDrivenInvestor
Influence of Varying Training Set Composition and Size on Support Vector Machine-Based Prediction of Active Compounds | Journal of Chemical Information and Modeling
Gabriel Peyré on Twitter: "Oldies but goldies: B. Boser, I. Guyon, V. Vapnik, A Training Algorithm for Optimal Margin Classifiers, 1992. Introduced kernel SVM for non-parametric classification. https://t.co/kcR0unUgw0 https://t.co/qPijvbK6D7" / Twitter
