Redukcja wymiarowości i selekcja cech w zadaniach klasyfikacji i regresji z wykorzystaniem uczenia maszynowego

• Autorzy: Ziemba P.

Warianty tytułu

EN

The reduction of assessments and features selection in tasks of classification and the regression with using machine learning

• Języki publikacji: PL

Abstrakty

EN

Machine learning is being used in tasks of the regression and classification. In the field of classification a multidimensional of classified objects is one of essential problems. Classification is held on the basis of the value of features. These features are reflecting dimensions of the object subjected to the classification. In the article, applied algorithms were introduced selection of features which let reduce a problem “curses of dimensionality”.

Słowa kluczowe

PL

uczenie maszynowe; wybór funkcji; przekleństwa wymiarowości

EN

machine learning; feature selection; curses of dimensionality

• Wydawca: Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
• Czasopismo: Zeszyty Naukowe. Studia Informatica / Uniwersytet Szczeciński
• Rocznik: 2012
• Tom: Nr 30
• Strony: 221--236
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Ziemba P.

• Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Bibliografia

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