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检索条件"机构=Program in Applied Statistics"
394 条 记 录,以下是121-130 订阅
排序:
Machine-learning-based non-Newtonian fluid model with molecular fidelity
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Physical Review E 2020年 第4期102卷 043309-043309页
作者: Huan Lei Lei Wu Weinan E Department of Computational Mathematics Science & Engineering and Department of Statistics & Probability Michigan State University East Lansing Michigan 48824 USA Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA
We introduce a machine-learning-based framework for constructing continuum a non-Newtonian fluid dynamics model directly from a microscale description. Dumbbell polymer solutions are used as examples to demonstrate th... 详细信息
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Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction
arXiv
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arXiv 2020年
作者: Zhang, Jiachen Crippa, Paola Genton, Marc G. Castruccio, Stefano Department of Applied and Computational Mathematics and Statistics University of Notre Dame United States Department of Civid and Environmental Engineering and Geoscience University of Notre Dame United States Statistics Program King Abdullah University of Science and Technology Saudi Arabia
Facing increasing societal and economic pressure, many countries have established strategies to develop renewable energy portfolios, whose penetration in the market can alleviate the dependence on fossil fuels. In the... 详细信息
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Iterative quantum optimization of spin glass problems with rapidly oscillating transverse fields
arXiv
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arXiv 2024年
作者: Barton, Brandon Sagal, Jacob Feeney, Sean Grattan, George Patnaik, Pratik Oganesyan, Vadim Carr, Lincoln D. Kapit, Eliot Quantum Engineering Program Colorado School of Mines 1523 Illinois St GoldenCO80401 United States Department of Applied Mathematics and Statistics Colorado School of Mines 1500 Illinois St GoldenCO80401 United States Center for Computational Quantum Physics Flatiron Institute 162 5th Avenue New YorkNY10010 United States Department of Physics Colorado School of Mines 1523 Illinois St GoldenCO80401 United States Department of Computer Science Colorado School of Mines 1500 Illinois St GoldenCO80401 United States Department of Physics and Astronomy College of Staten Island City University of New York Staten IslandNY10314 United States Physics program and Initiative for the Theoretical Sciences The Graduate Center City University of New York New YorkNY10016 United States
In this work, we introduce a new iterative quantum algorithm, called Iterative Symphonic Tunneling for Satisfiability problems (IST-SAT), which solves quantum spin glass optimization problems using high-frequency osci... 详细信息
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On the importance of assessing topological convergence in Bayesian phylogenetic inference
arXiv
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arXiv 2024年
作者: Brusselmans, Marius Carvalho, Luiz Max Hong, Samuel L. Gao, Jiansi Matsen, Frederick A. Rambaut, Andrew Lemey, Philippe Suchard, Marc A. Dudas, Gytis Baele, Guy Department of Microbiology Immunology and Transplantation Rega Institute KU Leuven Leuven Belgium School of Applied Mathematics Getulio Vargas Foundation Praia de Botafogo 190 Rio de Janeiro22250-900 Brazil Computational Biology Program Fred Hutchinson Cancer Center SeattleWA98109 United States Howard Hughes Medical Institute Computational Biology Program Fred Hutchinson Cancer Research Center SeattleWA United States Department of Genome Sciences University of Washington SeattleWA United States Department of Statistics University of Washington SeattleWA United States Institute of Ecology and Evolution University of Edinburgh EdinburghEH9 3FL United Kingdom Department of Biostatistics Fielding School of Public Health University of California Los AngelesCA90095 United States Institute of Biotechnology Life Sciences Center Vilnius University Vilnius Lithuania
Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the posterior distribution. These algorithms require caref... 详细信息
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Multimodal deep learning models utilizing chest X-ray and electronic health record data for predictive screening of acute heart failure in emergency department
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Computer Methods and programs in Biomedicine 2024年 255卷 108357页
作者: Lee, Chih-Kuo Chen, Ting-Li Wu, Jeng-En Liao, Min-Tsun Wang, Chiehhung Wang, Weichung Chou, Cheng-Ying Department of Internal Medicine National Taiwan University Hospital Hsin-Chu Branch No. 25 Ln. 442 Sec. 1 Jingguo Rd. Taiwan Hsinchu300 Taiwan Institute of Statistical Science Academia Sinica 128 Academia Rd. Nankang Taiwan Taipei11529 Taiwan Master Program in Statistics National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan Data Science Degree Program National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan Institute of Applied Mathematical Sciences National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan Department of Biomechatronics Engineering National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan
Background and Objectives: Ambiguity in diagnosing acute heart failure (AHF) leads to inappropriate treatment and potential side effects of rescue medications. To address this issue, this study aimed to use multimodal... 详细信息
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Local two-sample testing over graphs and point-clouds by random-walk distributions
arXiv
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arXiv 2020年
作者: Landa, Boris Qu, Rihao Chang, Joseph Kluger, Yuval Program in Applied Mathematics Yale University Department of Pathology Yale University School of Medicine Department of Statistics and Data Science Yale University Interdepartmental Program in Computational Biology and Bioinformatics Yale University Department of Immunology Yale School of Medicine
Rejecting the null hypothesis in two-sample testing is a fundamental tool for scientific discovery. Yet, aside from concluding that two samples do not come from the same probability distribution, it is often of intere... 详细信息
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COVID-19 Infected Lung Computed Tomography Segmentation and Supervised Classification Approach
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Computers, Materials & Continua 2021年 第7期68卷 391-407页
作者: Aqib Ali Wali Khan Mashwani Samreen Naeem Muhammad Irfan Uddin Wiyada Kumam Poom Kumam Hussam Alrabaiah Farrukh Jamal Christophe Chesneau Department of Computer Science Concordia College BahawalpurBahawalpur63100Pakistan Department of Computer Science&IT Glim Institute of Modern StudiesBahawalpur63100Pakistan Institute of Numerical Sciences Kohat University of Science&TechnologyKohat26000Pakistan Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Program in Applied Statistics Department of Mathematics and Computer ScienceFaculty of Science and TechnologyRajamangala University of Technology ThanyaburiThanyaburi12110Thailand Departments of Mathematics Faculty of ScienceCenter of Excellence in Theoretical and Computational Science(TaCS-CoE)&KMUTT Fixed Point Research LaboratoryRoom SCL 802 Fixed Point LaboratoryScience Laboratory BuildingKing Mongkut’s University of Technology Thonburi(KMUTT)Bangkok10140Thailand Department of Medical Research China Medical University HospitalTaichung40402Taiwan College of Engineering Al Ain UniversityAl Ain64141United Arab Emirates Department of Mathematics Tafila Technical UniversityTafila66110Jordan Department of Statistics The Islamia University of BahawalpurBahawalpur63100Pakistan 11Department of MathematicsUniversitéde CaenLMNOCaen14032France
The purpose of this research is the segmentation of lungs computed tomography(CT)scan for the diagnosis of COVID-19 by using machine learning *** dataset contains data from patients who are prone to the *** contains t... 详细信息
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Neural FIM for learning Fisher information metrics from point cloud data
arXiv
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arXiv 2023年
作者: Fasina, Oluwadamilola Huguet, Guillaume Tong, Alexander Zhang, Yanlei Wolf, Guy Nickel, Maximilian Adelstein, Ian Krishnaswamy, Smita Applied Math Program Yale University New HavenCT United States Mila - Quebec AI Institute MontrealQC Canada Department of Mathematics and Statistics Université de Montréal MontrealQC Canada Department of Computer Science and Operations Research Université de Montréal MontrealQC Canada FAIR Meta AI United States Department of Math Yale University New HavenCT United States Department of Computer Science Yale University New HavenCT United States Department of Genetics Yale University New HavenCT United States
Although data diffusion embeddings are ubiquitous in unsupervised learning and have proven to be a viable technique for uncovering the underlying intrinsic geometry of data, diffusion embeddings are inherently limited... 详细信息
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Reply to "Direct challenge in children with β-lactam allergies: Consensus is reached, but now it is time for accurate results"
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The journal of allergy and clinical immunology. In practice 2025年 第5期13卷 1239-1240页
作者: Michaela Lucas Britta S von Ungern-Sternberg Annabelle Arnold Michelle Trevenen Susan Herrmann Laure Braconnier Syed Ali Catherine Jepp David Sommerfield Kevin Murray Kristina Rueter Department of Clinical Immunology Perth Children's Hospital Perth Western Australia Australia UWA Medical School Faculty of Health and Medical Sciences University of Western Australia Perth Western Australia Australia PathWest Laboratory Medicine Perth Western Australia Australia Department of Immunology Sir Charles Gardiner Hospital Perth Western Australia Australia Institute for Pediatric Perioperative Excellence University of Western Australia Perth Western Australia Australia. Electronic address: Michaela.Lucas@health.wa.gov.au. Institute for Pediatric Perioperative Excellence University of Western Australia Perth Western Australia Australia Department of Anaesthesia and Pain Medicine Perth Children's Hospital Perth Western Australia Australia Division of Emergency Medicine Anaesthesia and Pain Medicine University of Western Australia Perth Western Australia Australia Perioperative Medicine Team Perioperative Care Program Telethon Kids Institute Perth Western Australia Australia. Department of Clinical Immunology Perth Children's Hospital Perth Western Australia Australia. Centre for Applied Statistics University of Western Australia Perth Western Australia Australia. UWA Medical School Faculty of Health and Medical Sciences University of Western Australia Perth Western Australia Australia. Centre for Applied Statistics University of Western Australia Perth Western Australia Australia School of Population and Global Health University of Western Australia Perth Western Australia Australia. Perioperative Medicine Team Perioperative Care Program Telethon Kids Institute Perth Western Australia Australia UWA Medical School UWA Centre for Child Health Research University of Western Australia Perth Western Australia Australia Department of Emergency Medicine Perth Children's Hospital Nedlands Western Australia Australia.
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Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
arXiv
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arXiv 2024年
作者: Papamarkou, Theodore Skoularidou, Maria Palla, Konstantina Aitchison, Laurence Arbel, Julyan Dunson, David Filippone, Maurizio Fortuin, Vincent Hennig, Philipp Hernández-Lobato, José Miguel Hubin, Aliaksandr Immer, Alexander Karaletsos, Theofanis Khan, Mohammad Emtiyaz Kristiadi, Agustinus Li, Yingzhen Mandt, Stephan Nemeth, Christopher Osborne, Michael A. Rudner, Tim G.J. Rügamer, David Teh, Yee Whye Welling, Max Wilson, Andrew Gordon Zhang, Ruqi Department of Mathematics The University of Manchester Manchester United Kingdom Eric and Wendy Schmidt Center Broad Institute of MIT and Harvard Cambridge United States Spotify London United Kingdom Computational Neuroscience Unit University of Bristol Bristol United Kingdom Centre Inria de l'Université Grenoble Alpes Grenoble France Department of Statistical Science Duke University United States Statistics Program KAUST Saudi Arabia Helmholtz AI Munich Germany Department of Computer Science Technical University of Munich Munich Germany Munich Center for Machine Learning Munich Germany Tübingen AI Center University of Tübingen Tübingen Germany Department of Engineering University of Cambridge Cambridge United Kingdom Department of Mathematics University of Oslo Oslo Norway Bioinformatics and Applied Statistics Norwegian University of Life Sciences Ås Norway Department of Computer Science ETH Zurich Switzerland Chan Zuckerberg Initiative CA United States Center for Advanced Intelligence Project RIKEN Tokyo Japan Vector Institute Toronto Canada Department of Computing Imperial College London London United Kingdom Department of Computer Science UC Irvine Irvine United States Department of Mathematics and Statistics Lancaster University Lancaster United Kingdom Department of Engineering Science University of Oxford Oxford United Kingdom Center for Data Science New York University New York United States Department of Statistics LMU Munich Munich Germany DeepMind London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Informatics Institute University of Amsterdam Amsterdam Netherlands Courant Institute of Mathematical Sciences Center for Data Science Computer Science Department New York University New York United States Department of Computer Science Purdue University West Lafayette United States
In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language datasets. However, a broader perspective... 详细信息
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