Relevant bibliographies by topics / DYNAMIC MACHINE LEARNING METHODOLOGY

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Academic literature on the topic 'DYNAMIC MACHINE LEARNING METHODOLOGY'

Author: Grafiati
Published: 11 September 2023

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Books on the topic "DYNAMIC MACHINE LEARNING METHODOLOGY"

1

Russell, David W. The BOXES Methodology: Black Box Dynamic Control. Springer London, 2012.

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2

Gultekin, San. Dynamic Machine Learning with Least Square Objectives. [publisher not identified], 2019.

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3

Bennaceur, Amel, Reiner Hähnle, and Karl Meinke, eds. Machine Learning for Dynamic Software Analysis: Potentials and Limits. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96562-8.

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4

Hinders, Mark K. Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49395-0.

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IEEE, International Symposium on Approximate Dynamic Programming and Reinforcement Learning (1st 2007 Honolulu Hawaii). 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning: Honolulu, HI, 1-5 April 2007. IEEE, 2007.

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6

Kelly, Michael A. A methodology for software cost estimation using machine learning techniques. Naval Postgraduate School, 1993.

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7

Maximize the teaching/learning dynamic: A developmental approach for educators. 3rd ed. Higher Level, 2013.

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8

Slater, Stanley F. Information search style and business performance in dynamic and stable environments: An exploratory study. Marketing Science Institute, 1997.

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9

Ehramikar, Soheila. The enhancement of credit card fraud detection systems using machine learning methodology. National Library of Canada, 2000.

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10

IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (1st 2007 Honolulu, Hawaii). 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning: Honolulu, HI, 1-5 April 2007. IEEE, 2007.

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