Search Results - (((( code python machine algorithm ) OR ( a array aco algorithm ))) OR ( p general map algorithm )) :: K.UTB vyhledávací portál

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Machine Learning Guide for Oil and Gas Using Python - A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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eBook

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Machine Learning with Spark™ and Python® - Essential Techniques for Predictive Analytics (2nd Edition)

by Bowles, Michael
Year of Publication 2020

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eBook Book

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Development of Software Tools to Improve the Work of the Code Completion Mechanism Using Machine Learning Algorithms in an Integrated Development Environment for Python

Published in Vestnik NSU Series Information Technologies

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Optimal Voltage Stability from A Scada Based Solar Array and Using ACO Algorithm

by Mohammed, Ramzi Qasim, Hamodat, Zaid
Published in 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (09.06.2022)

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Machine learning in python: essential techniques for predictive analysis

by Bowles, Michael
Year of Publication 2015

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eBook

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Work-in-Progress: Python Code Critiquer, a Machine Learning Approach

by Albrant, Laura, Pendse, Pradnya, Masker, Daniel, Brown, Laura E., Sticklen, Jon, Jarvie-Eggart, Michelle, Ureel, Leo C.
Published in Proceedings - Frontiers in Education Conference (18.10.2023)

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Conference Proceeding

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An efficient ACO-based algorithm for task scheduling in heterogeneous multiprocessing environments

by Elcock, Jeffrey, Edward, Nekiesha
Published in Array (New York) (01.03.2023)

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Journal Article

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Advanced Machine Learning with Python: Solve Challenging Data Science Problems by Mastering Cutting-Edge Machine Learning Techniques in Python

Year of Publication 2016

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eBook

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An Improved Photovoltaic Module Array Global Maximum Power Tracker Combining a Genetic Algorithm and Ant Colony Optimization

by Huang, Kuo-Hua, Chao, Kuei-Hsiang, Lee, Ting-Wei
Published in Technologies (Basel) (01.04.2023)

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A conversion tool for translating Python-based machine learning models to structured text codes

by Campos, Yasmin Adriane de Paula, Pereira, Paulo Haron da Silva, Duarte, Robson Aparecido, Perez, José Manuel Gonzalez Túbio, Pessin, Gustavo, Pinto, Thomas Vargas Barsante
Published in SoftwareX (01.02.2025)

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Machine Learning with Spark and Python, 2nd Edition

by Michael Bowles
Year of Publication 05.11.2019

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eBook

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Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach

by Bagheri Tolabi, Hajar, Ali, Mohd Hasan, Rizwan, M.
Published in IEEE transactions on sustainable energy (01.01.2015)

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5 Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data

by Tulpan, Dan
Published in Journal of animal science (14.09.2024)

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A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification

by Mendez, Kevin M., Reinke, Stacey N., Broadhurst, David I.
Published in Metabolomics (01.12.2019)

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Development of a Diabetes Diagnosis System Using Machine Learning Algorithms

by Chang, Victor, Kandadai, Keerthi, Xu, Qianwen Ariel, Guan, Steven
Published in International journal of distributed systems and technologies (01.01.2022)

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Python Code and Illustrative Crisis Management Data from Twitter

by Wang, Yen-Yao
Published in The Journal of information systems (01.09.2022)

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A review on optimization of antenna array by evolutionary optimization techniques

by Devisasi Kala, D.D., Sundari, D. Thiripura
Published in International journal of intelligent unmanned systems (31.01.2023)

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A Support Vector Machine based approach for plagiarism detection in Python code submissions in undergraduate settings

by Gandhi, Nandini, Gopalan, Kaushik, Prasad, Prajish
Published in Frontiers in computer science (Lausanne) (13.06.2024)

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K2 variable catalogue – II. Machine learning classification of variable stars and eclipsing binaries in K2 fields 0–4

by Armstrong, D. J., Kirk, J., Lam, K. W. F., McCormac, J., Osborn, H. P., Spake, J., Walker, S., Brown, D. J. A., Kristiansen, M. H., Pollacco, D., West, R., Wheatley, P. J.
Published in Monthly notices of the Royal Astronomical Society (21.02.2016)

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Protocol to explain support vector machine predictions via exact Shapley value computation

by Mastropietro, Andrea, Bajorath, Jürgen
Published in STAR protocols (21.06.2024)

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