Hybrid sampling method for autoregressive classification trees under density-weighted curvature distance-Reference-Cited by-同舟云学术

Hybrid sampling method for autoregressive classification trees under density-weighted curvature distance

Published:2020-05-25 Issue:5 Volume:15 Page:749-768
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Ye Hua¹,Qu Xilong²,Liu Shengzong²,Li Guang³

Affiliation:

1. School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, Hunan 410205, P. R. China

2. Hunan Provincial Key Laboratory of Finance & Economics Big Data Science and Technology, School of information technology and management, Hunan University of Finance and Economics, Changsha, Hunan 410205, P. R. China

3. School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang, Jiangxi 330013, P. R. China

Funder

National Nature Science Foundation of China

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2020.1762245

Reference26 articles.

1. An enhanced Empirical Mode Decomposition based method for image enhancement

2. Automated trading systems statistical and machine learning methods and hardware implementation: a survey

3. Chintala, S. 2019. “Top Minds in Machine Learning Predict Where AI Is Going in 2020.” Accessed January 2020. https://venturebeat.com/2020/01/02/top-minds-in-machine-learning-predict-where-ai-is-going-in-2020/

4. Comparing Evaluation Protocols on the KTH Dataset

5. Curvature Filters Efficiently Reduce Certain Variational Energies

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