Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

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Bayesian machine learning : theory and applications by Payne, Megan Wendy

Subjects: “…Machine learning -- Theory, methods, etc.…”
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solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

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solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

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Assessment of depth to Lead-Zinc deposit in parts of Southern Benue Trough using integrated geophysical methods

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LinCDE: Conditional Density Estimation via Lindsey's Method

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University Students’ Emotional States and Academic Engagement: Implications for Sustainable Learning Practices in Higher Education

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Deep learning based methods for tuberculosis cough classification by Frost, Geoffrey

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The spatial learning method : facilitation of learning through the use of cognitive mapping in virtual reality by Johns, Cathryn

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Methods of assessing learning needs for community education programs

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TOWARD RAM FORENSICS SUPPORTEDBY MACHINE-LEARNING METHODS

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Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric

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An attempt to predict economic turnaround using proposed ‘leading leading’ indicators

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Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization

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Unravelling black box machine learning methods using biplots by Rowan, Adriaan

“…Following the development of new mathematical techniques, the improvement of computer processing power and the increased availability of possible explanatory variables, the financial services industry is moving toward the use of new machine learning methods, such as neural networks, and away from older methods such as generalised linear models. …”
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Predicting household poverty with machine learning methods: the case of Malawi by Chinyama, Francis

“…The experiments were carried out on the full panel of features which represent all the questions asked in a household survey, as well as on smaller feature subsets. The Filter method and SHapley Additive exPlanations method were used to rank the importance of the features, and smaller data subsets were selected based on these rankings. …”
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Using Supervised Learning Methods to Credit Score Informal Merchants by Kazimoto, Derick

“…Logistic regression and support vector machines were used as supervised learning methods to predict the default behavior of merchants. …”
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Developing a method for a holistic design of mobile learning by Stanton, Genevieve

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Reinforcement learning : theory, methods and application to decision support systems by Mouton, Hildegarde Suzanne

Subjects: “…Reinforcement learning…”
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Classification of cherry maturity stages using machine learning methods

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