The Effect of Dataset Size on the Performance of Classification Algorithms for Credit Scoring by Gidlow, Liam

“…Secondly, a learning curve analysis established by researchers in a different field is utilised – this technique, which involves training algorithms on subsamples of different sizes of a large dataset, allows us to investigate the ability of different algorithms to leverage additional data to improve prediction performance. …”
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An empirically derived system for high-speed shadow rendering

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Development of a screening algorithm for the cervical cancer prevention programme in Botswana

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A qualitative model of evolutionary algorithms by Fagan, Francois

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Landscape analysis-based automated algorithm selection by Lang, Ryan Dieter

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Evolutionary algorithms for routing problems with drones with interceptions by Ernst, Rudolf Heinrich

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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Metrics to evaluate compressions algorithms for RAW SAR data

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Metrics to evaluate compressions algorithms for RAW SAR data

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Self-organising traffic control algorithms at signalised intersections by Einhorn, Mark David

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Diagnostic Algorithm for Accurate detection of breast carcinoma on ultrasound

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Greedy Algorithm and Model for Analysis of a Bus Fleet's Operations by McGladdery, Duncan

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The feature detection rule and its application within the negative selection algorithm

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Applying patient-admission predictive algorithms in the South African healthcare system by Daffue, Ruan Albert

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Experiences of Physical Sciences teachers when introduced to an electronic expert system

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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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Development and application of a multi-period pipe replacement model utilising risk-based prioritisation for water distribution systems by De Klerk, Altus Hugo

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Application of clustering techniques for improved energy benchmarking on deep-level mines by Caromba, Claudio Mauricio

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An empirically derived system for high-speed rendering

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