All-relevant feature selection in Machine Learning: methods and applications

Prelegent(ci)

Witold Rudnicki

Afiliacja

University of Białystok & ICM UW

Termin

11 marca 2022 14:15

Informacje na temat wydarzenia

5820 & online https://meet.google.com/jbj-tdsr-aop

Seminarium

Seminarium badawcze „Systemy Inteligentne”

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In the talk I will present short overview of general approaches to feature selection and explain the need for the all-relevant feature selection. I will give short motivation for the need of the feature selection methods that take into account synergistic interactions. Then I will describe two algorithms that I have proposed, Boruta and MDFS. Finally I will show some examples of real life applications and discuss caveats and limitations of these methods.

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Plan wystąpień w tej edycji jest dostępny tutaj

The schedule of presentations can be checked here

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