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Performance of machine learning versus the national early warning score for predicting patient deterioration risk - a single-site study of emergency admissions
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Manufacturing workers fatigue - an exploratory study on predictive machine learning and cross-subject generalization with implications for work design
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A machine learning and quantile analysis of FINTECH and resource efficiency in achieving sustainable development in OECD countries
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Analyzing the Differential Impact of Variables on the Success of Solicited and Unsolicited Private Participation in Infrastructure Projects Using Machine Learning Techniques
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Categories’ Churn - A Machine Learning Approach in Retail - Dissertação de Mestrado
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Column Generation in Machine Learning
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单机早/迟惩罚任务的调度问题 - 基于机器学习的算法选择方法
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Employing a Machine Learning Approach in Precision Oncology to Predict PIK3CA Functional Status and Identify Phenocopying Variants of Deleterious PIK3CA Mutations - Senior Thesis
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BIG DATA APPROACH TO SENTIMENT ANALYSIS IN MACHINE LEARNING-BASED MICROBLOGS - PERSPECTIVES OF RELIGIOUS MODERATION PUBLIC POLICY IN INDONESIA
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Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles - Abstract & Introduction
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Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
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Nord Pool Day-ahead Electiricty Price Forecasting using machine learning
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Cultivating Expertise - Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development - Ripple Down Rules or Machine Learning
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A proximal Newton framework for composite minimization - Graph learning without Cholesky decompositions and matrix inversions
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