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职业迁徙
个人简介
Professor Claire Monteleoni's Machine Learning Group is concerned with developing principled methods (known as algorithms) to automatically detect patterns in data. In this era of "Big Data," the various forms of complexity inherent in real data sources increasingly pose challenges for machine learning algorithm design. The GW Machine Learning Group works on the design, analysis, and application of machine learning algorithms, motivated by problems in real data sources, including learning from data streams, learning from raw (unlabeled) data, learning from private data, and climate informatics: accelerating discovery in climate science with machine learning.
2020 KDD Earth Day Chairs
2020 KDD Earth Day Chairs
研究兴趣
论文共 58 篇作者统计合作学者相似作者
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crossref(2024)
arxiv(2024)
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crossref(2024)
CoRR (2023)
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Environmental Data Science (2022)
Auroop Ganguly, Sue Haupt, Forrest Hoffman,Vipin Kumar,Upmanu Lall,Claire Monteleoni, Jitendra Kumar, Nagendra Singh,Julia Hopkins,Anuj Karpatne,Shafiqul Islam,Samrat Chatterjee
crossref(2021)
Nadya Bliss,Elizabeth Bradley,Claire Monteleoni,Ilkay Altintas, Kyri Baker,Sujata Banerjee,Andrew A. Chien,Thomas Dietterich,Ian Foster,Carla P. Gomes, Chandra Krintz, Jessica Seddon,
arxiv(2021)
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