RETRACTION: Dynamic Monitoring of Football Training Based on Optimization of Computer Intelligent Algorithm

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A reinforcement learning approach to quadruped locomotion: framework, training, and evaluation by Cooke, Lauren

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Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms

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A hyperheuristic approach towards the training of artificial neural networks by Nel, Gerrit Stephanus

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Reinforcement learning for algorithmic day trading on the Johannesburg Stock Exchange by Richards, Nicole

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Evolutionary algorithms for optimising reinforcement learning policy approximation by Cuningham, Blake

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GAdaboost: Accelerating adaboost feature selection with genetic algorithms by Tolba, Mai

“…In this thesis we propose GAdaboost: A Genetic Algorithm to accelerate the training procedure of the Viola-Jones Rapid Object Detector through Feature Selection. …”
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Classification of customer complaints using machine learning algorithms by Kgomo, Teballo

“…These algorithms are trained on three different word vectorisation techniques namely: CV, TFIDF, and Word2Vec word-embedding. …”
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Learner experiences of transition from the General Education and Training band to the Further Education and Training band in science

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Eco-driving applications to freight trains

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ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

“…Data preparation is crucial to the data mining process, and its focus is to improve the tness of the training data for the learning algorithms to produce more e ective classi ers. …”
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The Effect of Dataset Size on the Performance of Classification Algorithms for Credit Scoring by Gidlow, Liam

“…This dissertation extends the research into the benchmarking of different classification algorithms by looking to establish the effect that the size of a training dataset has on the relative performance of different algorithms. …”
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Performance analysis of text classification algorithms for PubMed articles by Savvi, Suzana

“…Of all of the classifier models trained, logistic regression on Tf-idf vectorised entities achieved highest accuracy. …”
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Exploring algorithmic bias in cybersecurity : the social implications of AI-driven threat detection and risk scoring by Moabi, Boitshwarelo Precious

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Training neural networks for informal road extraction

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A hybrid deep learning based algorithm for gamma spectroscopy analysis by Buckton, Calib

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A comparison framework for deep learning RFI detection algorithms in radio astronomy by Du Toit, Charl

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A LULU noise removal algorithm for images using principal component analysis

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