Biotechnology and Machine Learning with SVM and LSS

It is a simple guide or introduction to Biotechnology and Machine Learning with background research, Support Vector Machine explanation, its interpretation in Java called Least Similar Spheres, its implementation and results. Author hopes that this project could be useful to those who want to introduce themselves to bioinformatics, machine learning, SVM and how it could be interpreted.

Multi Class Solution

One Vs All

Multi class in SVM is solved with One To All/ One Vs Others method. For each class pick current class and mark it as 1, the rest classes are -1, repeat. This idea could also be applied to other machine learning argorithms.

Figure 4. One vs. others/rest/all (Source: Ubaby, 2016)
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Gintaras
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Blog Archive

  • ▼  2016 (19)
    • ▼  June (19)
      • News, Comments and Updates
      • SVM diagrams (SVM 2D)
      • Multi Class Solution
      • Linearly Inseparable and Slack Variable
      • Linearly Inseparable and Higher Dimensions
      • Math of SVM from 2D to (n)D
      • SVM interpretation in Java and start of Least Simi...
      • Least Similar Spheres (LSS)
      • Abstract of the Research about Biotechnology and M...
      • The Introduction to Biotechnology and Machine Lear...
      • Literature Review (Machine Learning in early and l...
      • Literature Review (Machine Learning examples taken...
      • Literature Review (Machine Learning later techniques)
      • Implementation (The Biotechnology and Machine lear...
      • Implementation (LSS Java Snippets)
      • Methodology (Programming Language, Data, Comparison)
      • Results (LSS vs Weka SVM vs R SVM)
      • Evaluation and Conclusion
      • References
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