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2Publicado 2001Materias: “...Machine learning Periodicals....”
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Electrónico Revista -
3por Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio FanelliEnlace del recurso
Publicado 2021
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5por Alexandre Tkatchenko“... available. The development of novel machine learning tools to obtain chemical knowledge from these datasets...”
Publicado 2020
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9“... intervention for those who need it. In this paper, we employed a machine learning approach to identify...”
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12“...Application of machine-learning approaches to exploring chemical reaction networks is challenging...”
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13por Gregor Gunčar, Matjaž Kukar, Mateja Notar, Miran Brvar, Peter Černelč, Manca Notar, Marko Notar“.... Using machine learning algorithms and based on laboratory blood test results, we have built two models...”
Publicado 2018
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14por Lianlin Li, Hengxin Ruan, Che Liu, Ying Li, Ya Shuang, Andrea Alù, Cheng-Wei Qiu, Tie Jun CuiEnlace del recurso
Publicado 2019
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16por Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean“...Expectations for quantum machine learning are high, but there is currently a lack of rigorous...”
Publicado 2021
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17“... of stochastic avalanches involved, which resemble the critical phenomena. Salmenjoki et al. use machine learning...”
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18por Ali Bashir, Qin Yang, Jinpeng Wang, Stephan Hoyer, Wenchuan Chou, Cory McLean, Geoff Davis, Qiang Gong, Zan Armstrong, Junghoon Jang, Hui Kang, Annalisa Pawlosky, Alexander Scott, George E. Dahl, Marc Berndl, Michelle Dimon, B. Scott Ferguson“.... Here, the authors use machine learning to facilitate the development of DNA aptamers with improved...”
Publicado 2021
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19por Henry Chan, Mathew J. Cherukara, Badri Narayanan, Troy D. Loeffler, Chris Benmore, Stephen K. Gray, Subramanian K. R. S. Sankaranarayanan“... due to system size and timescale limitations. Here the authors develop a machine-learned coarse...”
Publicado 2019
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20por Federico M. Paruzzo, Albert Hofstetter, Félix Musil, Sandip De, Michele Ceriotti, Lyndon Emsley“... by high computational cost. Here, the authors use machine learning based on local atomic environments...”
Publicado 2018
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