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  1. Price formation under uncertainty by Du Preez, Johan

    Published 2015
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    Thesis
  2. Parallelising inference on cluster graphs by Verburgh, Cornel

    Published 2020
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    Thesis
  3. Incremental inference on higher-order probabilistic graphical models applied to constraint satisfaction problems by Streicher, Simon

    Published 2022
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    Thesis
  4. Tree species identification and leaf segmentation from natural images using deep semi-supervised learning by Homan, Dewald

    Published 2022
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  5. A Neural architecture for recognising human actions in video sequences by Malan, Christian

    Published 2022
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  6. Efficient approximations of the multi-sensor labelled multi-Bernoulli filter by Robertson, Stuart

    Published 2023
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  7. Approximate message passing algorithms for latent Dirichlet allocation by Taylor, Rebecca

    Published 2023
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  8. Machine learning models for mass appraisals: advancing valuations in the digital era by De Wet, Dominique

    Published 2023
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  9. Adaptive conversational systems harnessing human expertise in modern chatbots by Van Eeden, Christiaan

    Published 2024
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  10. Open-set learning with augmented category by exploiting unlabelled data (Open-LACU) by Engelbrecht, Emile

    Published 2024
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  11. Cluster graph representations of low-density parity-check codes including non-stationary channel noise estimation by Du Toit, Jaco

    Published 2024
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    Thesis