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The Hidden Vulnerability of Distributed Learning in Byzantium
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Bayesian Inference and Optimal Design for the Sparse Linear Model - Academic paper overview
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Classification of Dog Barks - a Machine Learning Approach
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PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification - Simplified Proof and Tight Distribution-Free Bounds
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A Neurocomputational Model of Impaired Imitation - Research Presentation
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Predicting Diabetes Mellitus with Machine Learning Techniques - Research Study
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Improved Accuracy for Heart Disease Diagnosis Using Machine Learning Techniques
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing
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Machine Learning Applications to Survey Nonresponse - Inaugural Dissertation
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Pathways to Radicalisation - On Research for Online Radicalisation in Natural Language Processing and Machine Learning
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A Comparative Analysis of Market Segmentation Using Machine Learning
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Understanding thermal comfort using self-reporting and interpretable machine learning
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Investigating Machine Learning Algorithms for Stroke Occurrence Prediction
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POWER CONSUMPTION PREDICTION IN SMART MANUFACTURING USING MACHINE LEARNING - Master’s Thesis
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