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检索条件"机构=Laboratory of Machine Learning and Optimization"
24 条 记 录,以下是21-30 订阅
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Analysis of the Research Status of Information Technology Education Literature in China and Abroad
Analysis of the Research Status of Information Technology Ed...
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IEEE International Conference on High Performance Computing and Communications (HPCC)
作者: Yulin Zhao Kai Liu Junke Li School of Computer and Information Qiannan Normal University for Nationalities Duyun China Key Laboratory of Machine learning and Unstructured Data Processing of Qiannan Duyun China School of Information Engineering Suqian University Suqian Jiangsu China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Duyun China Jiangsu Province Engineering Research Center of Smart Poultry Farming and Intelligent Equipment Jiangsu China
Information technology education contributes to the development of national education. Understanding the research status of information technology education at home and abroad is helpful to the implementation of educa... 详细信息
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Understanding morphology-mobility dependence in PEDOT:Tos
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Physical Review Materials 2018年 第4期2卷 045605-045605页
作者: Nicolas Rolland Juan Felipe Franco-Gonzalez Riccardo Volpi Mathieu Linares Igor V. Zozoulenko Laboratory of Organic Electronics Department of Science and Technology (ITN) Campus Norrköping Linköping University SE-60174 Norrköping Sweden Department of Physics Chemistry and Biology (IFM) Linköping University SE-58183 Linköping Sweden Machine Learning and Optimization Group Romanian Institute of Science and Technology (RIST) Cluj-Napoca Romania School of Biotechnology Division of Theoretical Chemistry & Biology KTH Royal Institute of Technology 114 21 Stockholm Sweden Swedish e-Science Research Centre KTH Royal Institute of Technology 104 50 Stockholm Sweden
The potential of conjugated polymers to compete with inorganic materials in the field of semiconductor is conditional on fine-tuning of the charge carriers mobility. The latter is closely related to the material morph... 详细信息
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On monotonicity of Ramanujan function for binomial random variables
arXiv
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arXiv 2018年
作者: Dmitriev, Daniil Zhukovskii, Maksim École Polytechnique Fédérale de Lausanne Laboratory of Machine Learning and Optimization Switzerland Sobolev Institute of Mathematics Pevtsova 13 Moscow644043 Russia Institute of Physics and Technology Laboratory of Advanced Combinatorics and Network Applications 9 Institutskiy per. Dolgoprudny Moscow Region141701 Russia Russian Presidential Academy of National Economy and Public Administration Prospekt Vernadskogo 82 Moscow119571 Russia Adyghe State University Caucasus mathematical center Ulitsa Pervomayskaya 208 Maykop Respublika Adygeya385000 Russia
For a binomial random variable ξ with parameters n and b/n, it is well known that the median equals b when b is an integer. In 1968, Jogdeo and Samuels studied the behaviour of the relative difference between P(ξ = ... 详细信息
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Modern applications of machine learning in quantum sciences
arXiv
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arXiv 2022年
作者: Dawid, Anna Arnold, Julian Requena, Borja Gresch, Alexander Plodzien, Marcin Donatella, Kaelan Nicoli, Kim A. Stornati, Paolo Koch, Rouven Büttner, Miriam Okula, Robert Muñoz–Gil, Gorka Vargas–Hernández, Rodrigo A. Cervera-Lierta, Alba Carrasquilla, Juan Dunjko, Vedran Gabrié, Marylou Huembeli, Patrick van Nieuwenburg, Evert Vicentini, Filippo Wang, Lei Wetzel, Sebastian J. Carleo, Giuseppe Greplová, Eliška Krems, Roman Marquardt, Florian Tomza, Michal Lewenstein, Maciej Dauphin, Alexandre Faculty of Physics University of Warsaw Poland ICFO - Institut de Ciències Fotòniques The Barcelona Institute of Science and Technology Castelldefels Barcelona08860 Spain Center for Computational Quantum Physics Flatiron Institute New York United States Department of Physics University of Basel Switzerland Institute for Theoretical Physics Heinrich Heine University Düsseldorf Germany Institute for Quantum Inspired and Quantum Optimization Hamburg University of Technology Germany Université de Paris CNRS Laboratoire Matériaux et Phénomènes Quantiques France Machine Learning Group Technische Universität Berlin Germany BIFOLD Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany Department of Applied Physics Aalto University Espoo Finland Institute of Physics Albert-Ludwig University of Freiburg Germany International Centre for Theory of Quantum Technologies University of Gdańsk Poland Department of Algorithms and System Modeling Faculty of Electronics Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Poland Institute for Theoretical Physics University of Innsbruck Austria Department of Chemistry University of Toronto Canada Vector Institute for Artificial Intelligence MaRS Centre Toronto Canada Department of Chemistry and Chemical Biology McMaster University Hamilton Canada Barcelona Supercomputing Center Spain LIACS Leiden University Netherlands CMAP École Polytechnique France Switzerland Menten AI Inc. Palo AltoCA United States Niels Bohr Institute Copenhagen Denmark CPHT CNRS École Polytechnique Institut Polytechnique de Paris PalaiseauF-91128 France Beijing National Lab for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing China Songshan Lake Materials Laboratory Dongguan China Perimeter Institute for Theoretical Physics Waterloo Canada Kavli Institute of Nanoscience Delft University of Technology DelftNL-2600 GA Netherlands Department of
In this book, we provide a comprehensive introduction to the most recentadvances in the application of machine learning methods in quantum sciences. Wecover the use of deep learning and kernel methods in supervised, u... 详细信息
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