Results 231 to 240 of about 1,852,959 (299)
Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker +9 more
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Dynamic machine learning approach for workload prediction in cloud environments. [PDF]
Sci RepNashaat M, Moussa W, Rizk R, Saber W.
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Neural network-driven user behavior forecasting and personalized recommendation in power marketing. [PDF]
PLoS OneYu L, Hong Y, Liu Z, Wang Z, Zhao X.
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AI-augmented reliability in CI/CD: a framework for predictive, adaptive, and self-correcting pipelines. [PDF]
Front Artif IntellDhawan R, Dhawan M.
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Rethink context engineering using an attention-based architecture. [PDF]
Sci RepYin Y.
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Mamba ECIS for power marketing customer behavior forecasting using multimodal deep learning. [PDF]
Sci RepPang W, Wang X, Li K.
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2022
Eye movement data has been extensively utilized by researchers interested in studying decision-making within the strategic setting of economic games. In this paper, we demonstrate both a deep learning and traditional machine learning classification method which are able to accurately identify a given participant's decision strategy before they commit ...
Polonio, Luca, Byrne, Sean
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Eye movement data has been extensively utilized by researchers interested in studying decision-making within the strategic setting of economic games. In this paper, we demonstrate both a deep learning and traditional machine learning classification method which are able to accurately identify a given participant's decision strategy before they commit ...
Polonio, Luca, Byrne, Sean
openaire +1 more source
2023
Predicting strategic goal-oriented multi-agent behavior from observations of play is a ubiquitous task that spans not only computer science, but economics, finance, decision theory, and psychology. Unlike in the single-agent setting, agents cannot myopically maximize their utility. Instead, they must reason about the intentions and goals of the others’
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Predicting strategic goal-oriented multi-agent behavior from observations of play is a ubiquitous task that spans not only computer science, but economics, finance, decision theory, and psychology. Unlike in the single-agent setting, agents cannot myopically maximize their utility. Instead, they must reason about the intentions and goals of the others’
openaire +1 more source
Predicting Antipollution Behavior
Environment and Behavior, 1995The moderating effect of past behavior and locus of control in the relationship between attitudes and multiple behavioral intentions were investigated among Chinese students to test the theory of reasoned action. Measures of locus of control, past proenvironmental behavior, attitude, social norm, and personal control toward the act of signing an ...
P. Nicholas Hamid, Sheung-Tak Cheng
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