Feature extraction to detect occupancy in buildings using ecological factors
Автор: Kulikovskikh Ilona
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 4-4 т.18, 2016 года.
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The paper delves into feature extraction problem to detect occupancy in buildings using ecological factors. To solve this problem a logistic regression model was implemented and a composed function was proposed. This composed function took into account features cross-correlations. The computational experiments confirmed the adequacy and consistency of research results as well as the efficiency of created models to detect occupancy in buildings.
Machine learning, feature extraction, logistic regression, binary classification, occupancy detection, ecological factors
Короткий адрес: https://sciup.org/148204764
IDR: 148204764
