The Shogun Machine Learning Toolbox Information Guide

  1. Overview on The Shogun Machine Learning Toolbox
  2. Main Features
  3. History
  4. Full Guide
  5. Conclusion

Overview on The Shogun Machine Learning Toolbox

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Main Features

Details CppCon 2017: Pan Deng “An Introduction To Shogun Machine Learning Toolbox One For All” Guide
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History

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Shogun Toolbox Workshop 2014: Machine Learning and Kernel Methods by Marius Kloft (2/6)
Shogun Toolbox Workshop 2014: Machine Learning and Kernel Methods by Marius Kloft (2/6)
Shogun
Shogun
What Is Statistics and Machine Learning Toolbox
What Is Statistics and Machine Learning Toolbox
How to use Machine Learning Toolbox in MATLAB | Machine Learning Toolbox Explained in 6 Minutes!
How to use Machine Learning Toolbox in MATLAB | Machine Learning Toolbox Explained in 6 Minutes!
Shogun, a language agnostic machine learning library - Viktor Gal - FOSSASIA Summit 2017
Shogun, a language agnostic machine learning library - Viktor Gal - FOSSASIA Summit 2017
Shogun Toolbox Workshop 2013: Structured Output Learning
Shogun Toolbox Workshop 2013: Structured Output Learning
Shogun Toolbox Workshop 2014: Kernel Hypothesis Testing by Dino Sejdinovic (3/6)
Shogun Toolbox Workshop 2014: Kernel Hypothesis Testing by Dino Sejdinovic (3/6)
Shogun Toolbox Workshop 2013: (Latent) Structured Output SVM in practice
Shogun Toolbox Workshop 2013: (Latent) Structured Output SVM in practice
Shogun Toolbox Workshop 2013: Keynote
Shogun Toolbox Workshop 2013: Keynote
Shogun Toolbox Workshop 2013: Gaussian Processes
Shogun Toolbox Workshop 2013: Gaussian Processes
Shogun Toolbox Workshop 2014: Variational Learning for GP by Mohammad Emtiyaz Khan (4/6)
Shogun Toolbox Workshop 2014: Variational Learning for GP by Mohammad Emtiyaz Khan (4/6)

Full Guide

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Last Updated: October 19, 2026

Conclusion

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Summary

CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: ... ... welcomes everybody, sets up the workshop's agenda and talks about the features of Marius Kloft talks about his research in Kernel Methods and gives an introduction into The goal of this workshop is to inform people about open source Speaker(s): Viktor Gal (Singapore) Abstract: Dino Sejdinovic talks about his research in Kernel Hypothesis Testing and Feature Selection. (Latent) Structured Output SVM in practice by Viktor Gal Gaussian Processes by Heiko Strathmann Mohammad "Emti"yaz Khan talks about his research in Variational

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