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pro vyhledávání: '"Poslavskaya, Ekaterina"'
Categorical features are present in about 40% of real world problems, highlighting the crucial role of encoding as a preprocessing component. Some recent studies have reported benefits of the various target-based encoders over classical target-agnost
Externí odkaz:
http://arxiv.org/abs/2312.16930
Autor:
Nikitin, Nikolay O., Pinchuk, Maiia, Pokrovskii, Valerii, Shevchenko, Peter, Getmanov, Andrey, Aksenkin, Yaroslav, Revin, Ilia, Stebenkov, Andrey, Poslavskaya, Ekaterina, Kalyuzhnaya, Anna V.
Automated machine learning (AutoML) systems propose an end-to-end solution to a given machine learning problem, creating either fixed or flexible pipelines. Fixed pipelines are task independent constructs: their general composition remains the same,
Externí odkaz:
http://arxiv.org/abs/2312.14770
Autor:
Nikitin, Nikolay O., Pinchuk, Maiia, Pokrovskii, Valerii, Shevchenko, Peter, Getmanov, Andrey, Aksenkin, Yaroslav, Revin, Ilia, Stebenkov, Andrey, Latypov, Vladimir, Poslavskaya, Ekaterina, Kalyuzhnaya, Anna V.
Publikováno v:
In Knowledge-Based Systems 25 October 2024 302
