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Feature Selection Involving Concepts of Information Theory. In: Proceedings of scientific conference “Actual Problems of Stochastic Analysis” dedicated to the 80th anniversary of the birth of academician Sh.K.FORMANOVстатья
- Автор: Bulinski A.V.
- Сборник: Proceedings of scientific conference “Actual Problems of Stochastic Analysis” dedicated to the 80th anniversary of the birth of academician Sh.K.Formanov
- Год издания: 2021
- Место издания: V.I.Romanovskiy Institute of Mathematics of the Academy of Sciences of Uzbekistan National University of Uzbekistan named after Mirzo Ulugbek Tashkent
- Первая страница: 32
- Последняя страница: 34
- Аннотация: Nowdays one manages with huge arrays of data arising in diverse fields such as microarray analysis, text categorisation, high-frequency financial data, phishing detection, etc. Such data have extremely high dimensionality (Big Data). The problem of finding the relevant (in a sense) features among the large collections is of great importance, e.g., to construct an interpretable model of the studied phenomenon.
- Добавил в систему: Булинский Александр Вадимович