ML
Machine Learning
Algorithms that learn from data: theory, methods and applications.
208,094 papers · Aggregated across sources — IEEE, arXiv, ACM, Springer, Elsevier and more.
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Graph-Based Machine Learning for Multivariate Time Series Prediction in Scientific Domains: Streamflow Forecasting and Solar Flare Prediction
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MACHINE LEARNING IN PHARMACEUTICAL FORMULATION DEVELOPMENT
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Mobility-Aware and Privacy-Preserving Federated Reinforcement Learning with Multi-Paradigm Machine Learning for Edge Intelligence in 5G/6G Networks
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Real-time railhead friction estimation using machine learning: development of an on-board-train data capture system
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Construction and validation of a machine learning⁃based prediction model for the risk of excessive gestational weight gain
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Unifying and Expanding Global and Local Variable Importance Methods for Explainable Machine Learning
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A High-Precision Machine Learning Algorithm for Detecting DDoS Attacks in a Cloud Computing Environment
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Machine learning prediction of binary formation in three-body gravitational encounters
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Performance of morphological classifiers for galaxy mergers compared to current machine learning methods
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MACHINE LEARNING BASED DISEASE PREDICTION & DRUG RECOMMENCEMENT SYSTEM
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Comparative Analysis Of Machine Learning Models For Heart Disease Prediction Using Clinical Data
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Integrating Machine Learning and AHP for Data-Driven Asset Renewal Prioritization in Power Distribution Systems
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Physics-Informed Feature Engineering for Machine Learning Prediction of Tight Binding Parameters in III-V Semiconductors
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Sources of Uncertainty in Supervised Machine Learning—a Statisticians’ View
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A Review on Leveraging Machine Learning and Big Data for Personalized Healthcare Systems
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Improving reddening estimates for RR Lyrae stars in the Gaia bands: A machine learning approach to the period-amplitude-color-(metallicity) relation
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Neurocardiac Effects of Nicotine and Caffeine in Wistar Rats: An EEG-ECG Study Integrating Inferential Statistics and Machine Learning for Applications in Digital Diagnostics
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Comment on “Machine Learning Approaches to Identify Physical, Psychological, and Social Predictors of Worsening Frailty Transitions Among Community‐Dwelling Older Adults: A Longitudinal Cohort Study”
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Machine Learning Applications for Seaside Port Operations Planning and Scheduling
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Machine Learning–Driven Discovery of Dietary Polyphenol DPP-4 Inhibitors via Molecular Docking
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Regional financial model construction based on artificial intelligence and machine learning
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Objective Correlates of Activity Limitation in Korean Adults: A Combined Complex-Survey Regression and Explainable Machine-Learning Analysis of KNHANES 2019－2021
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Machine Learning as a Benchmarking Tool for Multiscale Lattice Discrete Particle Model Concrete Simulations