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https://github.com/Evizero/KSVM.jl
Oct 31, 2015 · A Julia package for research and application of linear- and non-linear Support Vector Machines (SVM). This package aims to make use of Julia 's strength in order to provide an easily extensible, highly modular, and at the same time computationally efficient framework for SVMs.
https://subscription.packtpub.com/video/big_data_and_business_intelligence/9781785882067/7902/7907/working-with-support-vector-machines
We need a better classification algorithm than Decision Trees for more complex data, like in pattern recognition. The Support Vector Machine is developed for these tasks. - Get a general overview on SVM - We apply SVM to the iris dataset in a naive way, obtaining an accuracy of 93 percent. - SVM is ...
https://www.juliabloggers.com/machine-learning-and-visualization-in-julia/
Machine Learning and Visualization in Julia. By: Tom Breloff. ... (Support Vector Machine) losses are supported. Optimized methods for working with array data are provided with both allocating and non-allocating versions. This package was originally Evizero/LearnBase.jl. Much of the development is by Christof Stocker, with contributions from ...
https://davidrosenberg.github.io/mlcourse/Lectures/04b.SVM.pdf
Support Vector Machines Julia Kempe & David Rosenberg CDS, NYU February 19, 2019 Julia Kempe & David Rosenberg (CDS, NYU) DS-GA 1003 February 19, 20191/16. The SVM as a Quadratic Program The SVM as a Quadratic Program Julia Kempe & David Rosenberg (CDS, NYU) …
https://github.com/svaksha/Julia.jl/blob/master/AI.md
SALSA.jl:: _S_oftware Lab for _A_dvanced Machine _L_earning and _S_tochastic _A_lgorithms is a native Julia implementation of the well known stochastic algorithms for linear and non-linear Support Vector Machines. ScikitLearn.jl:: Julia implementation of the scikit-learn API. Cheatsheet for choosing the right estimator.
https://github.com/madsjulia/SVR.jl
Dec 26, 2019 · Support Vector Regression (SVR) analysis in Julia utilizing the libSVM library. SVR is a module of MADS (Model Analysis & Decision Support).
https://github.com/JuliaStats/SVM.jl
Jul 26, 2016 · SVM.jl THIS PACKAGE IS UNMAINTAINED AND WILL BE REMOVED FROM METADATA. SVMs in Julia. Native Julia implementations of standard SVM algorithms. Currently, there are textbook style implementations of two popular linear SVM algorithms: Pegasos (Shalev-Schwartz et al., 2007) Dual Coordinate Descent (Hsieh et al., 2008)
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