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

• Autorzy: Paweł Ziemba

Warianty tytułu

The Reduction of Assessments and Features Selection in Tasks of Classification and the Regression with Using Machine Learning

• Języki publikacji: PL

Abstrakty

W artykule szczegółowo omówiono zagadnienia związane z wykorzystaniem metod selekcji cech do redukcji wymiarowości. W kolejnych rozdziałach przedstawiono: podstawowe założenia selekcji cech, podział metod wykorzystujących ten proces, wybrane algorytmy selekcji oraz przykład obliczeniowy(fragment tekstu)

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". (original abstract)

Słowa kluczowe

PL

Klasyfikacja; Analiza wielowymiarowa; Analiza danych; Uczenie maszynowe

EN

Classification; Multi-dimensional analysis; Data analysis; Machine learning

• Czasopismo: Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica
• Rocznik: 2012
• Numer: nr 30 Internet w społeczeństwie informacyjnym
• Strony: 221-236

Twórcy

autor

Paweł Ziemba

• Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

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