Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Based on Sparse Sample Regression and Anomaly Detection Technology

Yuhei Kotsuka, Sumika Arima. Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Based on Sparse Sample Regression and Anomaly Detection Technology. In Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain, editors, Intelligent Decision Technologies - Proceedings of the 13th KES-IDT 2021 Conference, Virtual Event, June 14-16, 2021. Volume 238 of Smart Innovation, Systems and Technologies, pages 109-125, Springer, 2021. [doi]

Abstract

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