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Reinforced feature selection using Q-learning based on collaborative agents
L Zhang, L **, M Gan, L Zhao, H Yin - International Journal of Machine …, 2023 - Springer
Reinforced feature selection (RFS) applies reinforcement learning to feature selection,
which can continue to learn the procedure of feature selection and then effectively find the …
which can continue to learn the procedure of feature selection and then effectively find the …
Validation of graph sequence clusters through multivariate analysis: application to Rovash scripts
G Hosszú - Heritage Science, 2024 - Springer
This paper introduces the concept of pattern systems that evolve, with a focus on scripts, a
specific type of pattern system. The study analyses the development of different script …
specific type of pattern system. The study analyses the development of different script …
Algorithmic Study of Gibbs Sampling Selection Based on Information Criterion
S Shang, Y Liu, R Wang, R Cao - 2023 IEEE 2nd International …, 2023 - ieeexplore.ieee.org
Feature selection is a key research direction in the current big data era, which can effectively
reduce the dimension of data, simplify the time of model training and improve the prediction …
reduce the dimension of data, simplify the time of model training and improve the prediction …
Ana-Hash Table Sorting Algorithm for Curve Objects in WEDM CAM
L Qin, M Zhang, M Chen, ZK Zhou, WS Zhao - Procedia CIRP, 2020 - Elsevier
Converting tool path geometries of a computer-aided design (CAD) file to computerized
numerical control (CNC) commands is the core functionality of a computer aided …
numerical control (CNC) commands is the core functionality of a computer aided …