Training neural word embeddings for transfer learning and translation by Gouws, Stephan

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A comparison between existing mortality risk algorithms and machine learning techniques by Scholtz, Jenny

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Discriminating between forest plantation genera using remote sensing and machine learning algorithms by Higgs, Caley

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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

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Machine Learning for Physics Applications: Quantum Algorithm Design, Chaotic Dynamics, and Mass Spectrometry by Rouillard, Amy Shirley

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Prediction of construction material prices using macroeconomic indicators: A neural networks model by Shiha, Ahmed

“…Historical data of Steel and Cement prices as well as macroeconomic indicators in Egypt from May 2008 to June 2018 are used for training, testing, and validation of the proposed models. …”
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Algorithm selector for dynamic AGV scheduling in a smart manufacturing environment using machine learning by Schweitzer, Felicia Cathrin

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A meta-learning framework for link prediction algorithm selection based on network structure analysis by Brown, Lienke Marie

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Development of a ML Algorithm to Improve Radar Detection of Golf Balls Using MFCW Radar by Holtshausen, Damian Luke

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Application of Chebyshev approximation techniques applied to banking risk calculations

Subjects: “…Tensors-train format and completion algorithm…”
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On Eigendecomposition-based algorithms as feature extraction techniques used with hidden Markov model for the detection of whale vocalisations by Usman, Ayinde Mohammed

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The automatic and unconstrained segmentation of speech into subword units by Van Vuuren, Van Zyl

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Using particle swarm optimisation to train feedforward neural networks in dynamic environments

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Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge

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The development of a scale to measure perceptions of the advanced automated aircraft training climate

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Enhancing detection of cervical cancer through deep learning: a comparative study of histological image-based algorithms by Tjale, Palesa

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Time series forecasting using dynamic particle swarm optimizer trained neural networks

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Cognitive radio performance optimisation through spectrum availability prediction

Subjects: “…Training algorithm complexity…”
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Induction of fuzzy rules from chemical process data using Growing Neural Gas and Reactive Tabu search methods by Gouws, Francois Stefan

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The Simultaneous Optimization of the Nose and Tail Geometry of a High-Speed Train for Drag and Crosswind Stability

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