Online causal feature selection for streaming features
D You, R Li, S Liang, M Sun, X Ou… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
Recently, causal feature selection (CFS) has attracted considerable attention due to its
outstanding interpretability and predictability performance. Such a method primarily includes …
outstanding interpretability and predictability performance. Such a method primarily includes …
The relationship between Bitcoin and stock market
This article analyzes the relationship between Bitcoin and the stock market by using a vector
autoregressive model. To enhance the impulse response signal, the Sliding Window …
autoregressive model. To enhance the impulse response signal, the Sliding Window …
Research on system economic operation and management based on deep learning
Wangtao, Z Zheng, P Wang, X Liu - Scientific Programming, 2022 - Wiley Online Library
It is of great significance to accurately predict the operation of the system economy, analyze
the gains and losses of macrocontrol policies, evaluate the operation quality of the economic …
the gains and losses of macrocontrol policies, evaluate the operation quality of the economic …
Visual Analysis of Industrial Multivariate Time-Series Data: Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data
M Musleh - 2021 - diva-portal.org
Developments in the field of data analytics provides a boost for smallsized factories. These
factories are eager to take full advantage of the potential insights in the remotely collected …
factories are eager to take full advantage of the potential insights in the remotely collected …
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ЭКОНОМИЧЕСКОЙ ТЕОРИИ И ПРАКТИКИ ФУНКЦИОНИРОВАНИЯ БИЗНЕС-ОРГАНИЗАЦИЙ: ЯПОНСКАЯ ЭКОНОМИЧЕСКАЯ …
ЮВ Ставропольский, СИ Замогильный - Актуальные проблемы …, 2019 - elibrary.ru
Краткосрочный динамизм допускает временные отклонения от равновесия, которые
оказываются зафиксированы действительными макроэкономическими данными. Тем …
оказываются зафиксированы действительными макроэкономическими данными. Тем …