• Suche: Statistical Models and Learning Methods for Complex Data

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21

Control, Optimization, and Mathematical Modeling of Complex Systems
Posypkin, Mikhail ; Gorshenin, Andrey ; Titarev, Vladimir

optimal control problem evolutionary computation robotics applications optimal control Lyapunov stability equilibrium point …
E-Book
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22

The Application of Hybrid Deep Learning Method of Improved Transformer Model in Load Forecasting Based on Future Network and Edge Computing.
Wang, Lei ; Song, Haitao ; Yu, Qingguang ; et al.
International Journal of High Speed Electronics & Systems. Aug2025, p1. 26p.

DATA analysis TRANSFORMER models LOAD forecasting (Electr... EDGE computing DEEP learning FEATURE selection …
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23

Tree-based Machine Learning Methods for Survey Research
Kern, Christoph ; Klausch, Thomas ; Kreuter, Frauke
Survey Research Methods, 13, 1, 73-93

Sozialwissenschaften, So... Social sciences, sociolo... machine learning predictive models panel attrition nonresponse …
Zeitschrift
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24

Statistical Methods for the Analysis of Genomic Data
Jiang, Hui ; He, Zhi

multiple cancer types integrative analysis omics data prognosis modeling classification gene set enrichment anal... …
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25

A novel deep learning approach to enhance creditworthiness evaluation and ethical lending practices in the economy.
Qian, Xiaoyan ; Cai, Helen Huifen ; Innab, Nisreen ; et al.
Annals of Operations Research. Mar2025, Vol. 346 Issue 2, p1597-1619. 23p.

CREDIT risk management CREDIT scoring systems CREDIT risk LONG short-term memory STATISTICAL learning DEEP learning …
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26

Artificial Intelligence in Modeling and Simulation
Fachada, Nuno ; David, Nuno

agent-based model epidemiology infectious disease simulation COVID-19 transfer learning …
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27

Prediction of traffic state variability with an integrated model-based and data-driven Bayesian framework.
Wu, Xinyue ; Chow, Andy H.F. ; Ma, Wei ; et al.
Transportation Research Part C: Emerging Technologies. Feb2025, Vol. 171, pN.PAG-N.PAG. 1p.

AUTOMATIC identification STOCHASTIC models MACHINE learning DEEP learning STATISTICAL models RECURRENT neural network... …
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28

Three Risky Decades: A Time for Econophysics?
Kutner, Ryszard ; Schinckus, Christophe ; Stanley, H.

energy economic growth output elasticities entropy production emissions optimization …
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29

scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data.
Wang, Hai-Yun ; Zhao, Jian-Ping ; Zheng, Chun-Hou ; et al.
Briefings in Bioinformatics. Jan2023, Vol. 24 Issue 1, p1-12. 12p.

DISTRIBUTION (Probabilit... GAUSSIAN distribution DATA analysis GAUSSIAN mixture models BAYESIAN field theory RNA sequencing …
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30

Fractional Calculus and the Future of Science
West, Bruce J.

fractional diffusion continuous time random w... reaction–diffusion equat... reaction kinetics multidimensional scaling fractals …
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31

Introducing parsimony to analyse complex data with model-based clustering
Parcimonie dans les modèles probabilistes pour l'analyse de données complexes
Selosse, Margot ; Entrepôts, Représentation et Ingénierie des Connaissances (ERIC) ; Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL) ; et al.
Other [cs.OH]. Université de Lyon, 2020. English. ⟨NNT : 2020LYSE2106⟩

Model-based clustering Mixture models Co-clustering Factor analysis Parsimony Parcimonie …
Dissertation
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32

Machine Learning for Work Disability Prevention: Introduction to the Special Series.
Gross, Douglas P. ; Steenstra, Ivan A. ; Harrell, Frank E. ; et al.
Journal of Occupational Rehabilitation. Sep2020, Vol. 30 Issue 3, p303-307.

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33

Novel Hybrid Intelligence Techniques in Engineering
Armaghani, Danial Jahed ; Zhang, Yixia ; Samui, Pijush ; et al.

confinement of concrete CFST composite column artificial intelligence gene-expression programm... hybrid techniques finite element method (F... …
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34

GNSS, Space Weather and TEC Special Features
Kos, Serdjo ; Fernández, José ; Prieto, Juan F.

ionosphere volcanic activity total electron content ground-truth data seismo-ionospheric coupl... GNSS time series analysi... …
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35

Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
Vitelli, Massimo ; Costanzo, Luigi

sensor network data fusion complex network analysis fault prognosis photovoltaic plants ANFIS …
E-Book
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36

情緒陶冶工作坊對教師情緒調節與社會情緒幸福感之介入成效.
王麗斐 ; 洪玉玲 ; 陳姿伃 ; et al.
Journal of Research in Education Sciences. Sep2025, Vol. 70 Issue 3, p99-131. 33p.

Emotion regulation Social emotional learnin... Action research Psychology of teachers Professional employee tr... Social adjustment …
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37

Experimental Design for Data Science and Engineering
Joseph, V. Roshan

computer experiments Gaussian process modelin... Design of Experiments uncertainty quantificati... Monte Carlo simulation sensitivity analysis …
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38

Probability and Stochastic Processes with Applications to Communications, Systems and Networks
Tsitsiashvili, Gurami ; Bochkov, Alexander

acyclic digraph maximal flow minimal cut minimal arc cover bipartite digraph decision-making …
E-Book
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39

A Comparison of Data‐Driven Approaches to Build Low‐Dimensional Ocean Models.
Agarwal, Niraj ; Kondrashov, D. ; Dueben, P. ; et al.
Journal of Advances in Modeling Earth Systems. Sep2021, Vol. 13 Issue 9, p1-25. 25p.

Ocean circulation Deep learning Long-term memory Short-term memory Artificial neural networ... Standard deviations …
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40

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