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검색어 : 통합검색[Machine theory.]

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  • 151
    Decoding quantum field theory with machine learning
    Grimmer, Daniel; Melgarejo-Lermas, Irene; Polo-Gó mez, José ; Martí n-Martí nez, Eduardo; ; (Journal of high energy physics : JHEP, v.2023, 2023, pp.31)
  • 152
    Anisotropic layer model theory applied to synchronous machine analysis
    Alvarenga, Bernardo P.; Alves, Renato S.; Paula, Geyverson T.; Marra, Enes G.; Chabu, Ivan E.; Cardoso, José R.; Mecrow, Barrie C.; Smith, Alexander C.; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; Laboratory of Applied Electromagnetism Polytechnic School of S ao Paulo University Brazil; Laboratory of Applied Electromagnetism Polytechnic School of S ao Paulo University Brazil; Electrical Power Group School of Electrical Engineering Newcastle University UK; Power and Energy Division School of Electrical and Electronic Engineering University of Manchester UK; (IET electric power applications, v.14, 2020, pp.2873-2880)
  • 153
    Machine Translation: Mining Text for Social Theory
    Evans, James A.; Aceves, Pedro; Department of Sociology, University of Chicago, Chicago, Illinois 60637; ; Department of Sociology, University of Chicago, Chicago, Illinois 60637; (Annual review of sociology, v.42, 2016, pp.21-50)
  • 154
    Fuzzy Theory Based Support Vector Machine Classifier
    Xuehua Li; Lan Shu; ; (Fuzzy Systems and Knowledge Discovery, 2008. FSKD `08. Fifth International Conference on, v.1, 2008, pp.600-604)
  • 155
    The queuing theory machine interference model: use and application
    EBEN-CHAIME, MOSHE; a Department of Industrial Engineering and Management , Ben-Gurion University of the Negev , P.O. Box 653, De'er-Sheva, 84105, Israel; (Production planning & control, v.6, 1995, pp.39-44)
  • 156
    Dimensional perturbation theory on the Connection Machine
    Germann, Timothy C.; Herschbach, Dudley R.; Boghosian, Bruce M.; Department of Chemistry, Harvard University, Cambridge, Massachusetts 02138; Department of Chemistry, Harvard University, Cambridge, Massachusetts 02138; Department of Chemistry, Harvard University, Cambridge, Massachusetts 02138; (Computers in physics, v.8, 1994, pp.712-721)
  • 157
    Machine learning of superconducting critical temperature from Eliashberg theory
    Xie, S. R.; Quan, Y.; Hire, A. C.; Deng, B.; DeStefano, J. M.; Salinas, I.; Shah, U. S.; Fanfarillo, L.; Lim, J.; Kim, J.; Stewart, G. R.; Hamlin, J. J.; Hirschfeld, P. J.; Hennig, R. G.; ; (Npj Computational materials, v.8, 2022, pp.14)
  • 158
    On the Theory of Transformation Machine Setting Parameters from Cutter-Tilt Milling Machine to Free-Form Milling Machine
    Zhang, Y.-h.; Wu, L.-y.; Wei, H.-q.; ; (機械設計與制造工程 = Manufacture information engineering of China, v.19, 2000, pp.782-784)
  • 159
    Research Trends of Mechanism and Machine Theory Using Bibliometrics
    Dong, Huei Ru; Su, Shiao Yu; Chen, Dar Zen; National Taiwan University; National Taiwan University; National Taiwan University; (Applied mechanics and materials, v.163, 2012, pp.79-85)
  • 160
    Hedonic Housing Theory — A Machine Learning Investigation
    Oladunni, Timothy; Sharma, Sharad; ; (Machine Learning and Applications (ICMLA), 2016 15th IEEE International Conference on, v.2016, 2016, pp.522-527)

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