Linksammlung

Code vom Paper "Measuring discrimination in algorithmic decision making - Indre Zliobaite":

https://github.com/zliobaite/paper-fairml-survey

Code und Scikit vom LVQ:

https://techfak.uni-bielefeld.de/~bpaassen/glvq.zip

https://github.com/MrNuggelz/sklearn-glvq

Liste aus der Mail

1. https://arxiv.org/abs/1104.3913 (Matthias)
2. https://arxiv.org/abs/1709.02012 (Astrid)
3. https://papers.nips.cc/paper/1113-generalized-learning-vector-quantization.pdf (Astrid)
4. https://doi.org/10.1162/089976603321891819
5. https://techfak.uni-bielefeld.de/~bpaassen/glvq.zip
6. https://github.com/MrNuggelz/sklearn-glvq
7. http://scikit-learn.org/stable/modules/linear_model.html#logistic-regression (Astrid)
8. http://www.cs.columbia.edu/~kathy/cs4701/documents/jason_svm_tutorial.pdf (Caro)
9. https://en.wikipedia.org/wiki/Platt_scaling (Caro)
10. http://scikit-learn.org/stable/modules/svm.html (Caro)
11. http://proceedings.mlr.press/v81/ (komplette Konferenz, mega viel)
12. http://www.cs.rug.nl/~biehl/Preprints/gmlvq.pdf (Astrid)
13. https://doi.org/10.1162/neco.2009.10-08-892

Weiterer Link https://www.csie.ntu.edu.tw/~cjlin/libsvm/

https://www.cs.waikato.ac.nz/~mhall/thesis.pdf

Addresses the problem of feature selection for machine learning through a correlation based approach. Maybe interesting as preprocessing method.