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Xiong, Hui [Editor]; Lee, W. B. [Other] ; KSEM 5 2011 Irvine, Calif

Knowledge science, engineering and management : 5th international conference, KSEM 2011, Irvine, CA, USA, December 12-14, 2011 ; proceedings

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Berlin; Heidelberg [u.a.]: Springer, 2011

Published in: Lecture notes in computer science ; 7091
Okun, Oleg [Editor]; Valentini, Giorgio [Editor]

Supervised and unsupervised ensemble methods and their applications

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Berlin; Heidelberg: Springer, 2008

Published in: Studies in computational intelligence ; 126
Zabel, Thomas [Author]

Klassifikation mit neuronalen Netzen : CARTE ; Cooperative Adaptive Resonance Theory Ensembles

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Berlin: Logos-Verl., 2005

Published in: Advances in information systems and management science ; 16
Kunapuli, Gautam [Author]

Ensemble methods for machine learning

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Shelter Island, NY: Manning Publications, [2023]
Stoffalette Joao, Renato [Author]

Methods for improving entity linking and exploiting social media messages across crises - [published Version]

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Hannover : Institutionelles Repositorium der Gottfried Wilhelm Leibniz Unviersität Hannover, 2023
Hengl, Tomislav [Author] ; Bonannella, Carmelo [Other]; Hengl, Tomislav [Other]

Spatio-temporal modeling of the risk of tick infestation in GB using EHRs

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[Erscheinungsort nicht ermittelbar]: OpenGeoHub Foundation, 2023

Published in: MOOD Summer School 2023 ; (Jan. 2023)
Xu, Tianpei [Author]; MA, Ying [Author]; Kim, Kangchul [Author]

Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping

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[S.l.]: SSRN, [2023]
Krauss, Christopher [Author]; Do, Xuan Anh [Author]; Huck, Nicolas [Author]

Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500

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Nürnberg: Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Economics, 2016
Garin, Marie [Author]; Evgeniou, Theodoros [Author]; Vayatis, Nicolas [Author]

A weighting scheme for one-shot federated learning

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[Fontainebleau]: INSEAD, [2023]

Published in: INSEAD: Faculty & research ; 2023,57
Pochelu, Pierrick [Author] ; Université de Lille (2022-.) [Contributor]; Petiton, Serge [Contributor]

Ensembles de réseaux de neurones répartis et parallèles appliqués au domaine de l'énergie ; Ensembles of Deep Neural Networks distributed and parallel for the energy industry

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theses.fr, 2022-06-13
Kim, Soohyon [Author]

Macroeconomic and financial market analyses and predictions through deep learning

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Seoul, Korea: Bank of Korea, 2020. 8

Published in: BOK working paper ; 2020,18
Deng, Shangkun [Author]; Luo, Qunfang [Author]; Zhu, Yingke [Author]; Ning, Hong [Author]; Shimada, Tatsuro [Author]

Financial risk forewarning with an interpretable ensemble learning approach : an empirical analysis based on Chinese listed companies

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2024

Published in: Pacific-Basin finance journal ; 85(2024) vom: Juni, Artikel-ID 102393, Seite 1-17
Liu, Jing [Author]; Kang, Yuncheol [Author]

Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning : Learn to Understand Candlesticks

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[S.l.]: SSRN, 2023
Mohapatra, Sabyasachi [Author]; Mukherjee, Rohan [Author]; Roy, Arindam [Author]; Sengupta, Anirban [Author]; Puniyani, Amit [Author]

Can ensemble machine learning methods predict stock returns for Indian banks using technical indicators?

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Basel: MDPI, 2022
Didisheim, Antoine [Author]; Kelly, Bryan T. [Author]; Malamud, Semyon [Author]

Deep regression ensembles

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Geneva: Swiss Finance Institute, [2022]

Published in: Swiss Finance Institute: Research paper series ; 2022,20
Nardari, Federico [Author]; Schüssler, Rainer Alexander [Author]

Ensembles of Portfolio Rules

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[S.l.]: SSRN, 2022
Ren, Zhao [Author]; Chang, Yi [Author]; Nejdl, Wolfgang [Author]; Schuller, Björn W. [Author]

Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition - [published Version]

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Les Ulis : EDP Sciences, 2022

Published in: Acta Acustica 6 (2022) ; Acta Acustica
Schneider, Bruno [Author]; Jäckle, Dominik [Author]; Stoffel, Florian [Author]; Diehl, Alexandra [Author]; Fuchs, Johannes [Author]; Keim, Daniel A. [Author]

Integrating Data and Model Space in Ensemble Learning by Visual Analytics

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KOPS - The Institutional Repository of the University of Konstanz, 2021

Published in: IEEE Transactions on Big Data. Institute of Electrical and Electronics Engineers (IEEE). 2021, 7(3), pp. 483-496. ISSN 2372-2096. eISSN 2332-7790. Available under: doi:10.1109/TBDATA.2018.2877350
Bordawekar, Rajesh [Author] ; ACM Special Interest Group on Management of Data

Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management

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New York,NY,United States: Association for Computing Machinery, 2019

Published in: ACM Conferences- ACM Digital Library
Narassiguin, Anil [Author] ; Lyon [Contributor]; Aussem, Alexandre [Contributor]; Elghazel, Haytham [Contributor]

Apprentissage Ensembliste, Étude comparative et Améliorations via Sélection Dynamique ; Ensemble Learning, Comparative Analysis and Further Improvements with Dynamic Ensemble Selection

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theses.fr, 2018-05-04

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