Support vector machine - Wikipedia
Influence of Varying Training Set Composition and Size on Support Vector Machine-Based Prediction of Active Compounds | Journal of Chemical Information and Modeling
Introduction to Support Vector Machines - ppt download
Which machine learning algorithm should I use? - The SAS Data Science Blog
A Training Algorithm for Optimal Margin Classi ers
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
SVM Classifier using Sklearn: Code Examples - Data Analytics
Large margin classification using the perceptron algorithm | Proceedings of the eleventh annual conference on Computational learning theory
Support Vector Machine (SVM) Algorithm - Javatpoint
Support Vector Machine | Encyclopedia MDPI
Correspondence
Demystifying Maths of SVM — Part 1 | by Krishna Kumar Mahto | Towards Data Science
A Comparative Study of Training Algorithms for Supervised Machine Learning | Semantic Scholar
Optimal Margin Classifier | Download Scientific Diagram
![PDF] A training algorithm for optimal margin classifiers by Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik · 10.1145/130385.130401 · OA.mg](https://og.oa.mg/A%20training%20algorithm%20for%20optimal%20margin%20classifiers.png?author=%20Bernhard%20E.%20Boser,%20Isabelle%20Guyon,%20Vladimir%20Vapnik "PDF] A training algorithm for optimal margin classifiers by Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik · 10.1145/130385.130401 · OA.mg")
PDF] A training algorithm for optimal margin classifiers by Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik · 10.1145/130385.130401 · OA.mg
Support Vector Machines
Global-local least-squares support vector machine (GLocal-LS-SVM) | PLOS ONE
Support Vector Machine (SVM) - MATLAB & Simulink
Support Vector Machine (SVM). Support Vector Machine algorithm… | by Vivek Salunkhe | Medium
Entropy | Free Full-Text | Toward Accelerated Training of Parallel Support Vector Machines Based on Voronoi Diagrams
![PDF] Using SVM to pre-classify government purchases | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/fbef7b23e6a7d5c92d77a2c7f3e3c5a157ca547e/8-Figure1-1.png "PDF] Using SVM to pre-classify government purchases | Semantic Scholar")
PDF] Using SVM to pre-classify government purchases | Semantic Scholar
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
Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis | Scientific Reports
PDF) A Training Algorithm for Optimal Margin Classifier
