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His primary research goal focuses on the application of statistical and machine learning to a variety of real-world problems, and in making these efforts easier, faster, and more precise. This work spans fundamental algorithm design to more effectively incorporate uncertainty to optimization using novel computational technologies. More generally, Brunner helps lead efforts to promote data science across campus and to encourage effective data management, analysis, and visualization techniques.
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论文共 308 篇作者统计合作学者相似作者
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M. Lacy, J. A. Surace,D. Farrah,K. Nyland,J. Afonso,W. N. Brandt,D. L. Clements,C. D. P. Lagos,C. Maraston, J. Pforr,A. Sajina, M. Sako,
Mark Lacy, J. Surace, D. Farrah,Kristina Nyland, J. Afonso,W. N. Brandt, D. L. Clements,Claudia del P. Lagos,Claudia Maraston,Janine Pforr,Anna Sajina, M. Šako,
Monthly Notices of the Royal Astronomical Societyno. 1 (2020): 892-910
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SSRN Electronic Journal (2019)
IEEE Transactions on Knowledge and Data Engineeringno. 4 (2019): 1479-1489
arxiv(2019)
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