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Michelle Girvan

Showing results (31-40 of 65) with videos related to

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Chaos (Woodbury, N.Y.)|December 3, 2008
Echo phenomena in large systems of coupled oscillatorsEdward Ott, John H Platig, Thomas M Antonsen, et al.
Plos One|September 28, 2021
An integrated model for interdisciplinary graduate education: Computation and mathematics for biological networksKelsey E McKee, Daniel Serrano, Michelle Girvan, et al.
Physical Review Letters|January 30, 2018
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing ApproachJaideep Pathak, Brian Hunt, Michelle Girvan, et al.
Chaos (Woodbury, N.Y.)|April 3, 2021
Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticityDhruvit Patel, Daniel Canaday, Michelle Girvan, et al.
Chaos (Woodbury, N.Y.)|July 5, 2011
Local synchronization in complex networks of coupled oscillatorsJohn Stout, Matthew Whiteway, Edward Ott, et al.
Plos One|March 17, 2017
The myopia of crowds: Cognitive load and collective evaluation of answers on Stack ExchangeKeith Burghardt, Emanuel F Alsina, Michelle Girvan, et al.
Plos One|March 7, 2012
Interpreting patterns of gene expression: signatures of coregulation, the data processing inequality, and triplet motifsWai Lim Ku, Geet Duggal, Yuan Li, et al.
Chaos (Woodbury, N.Y.)|January 1, 2018
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from dataJaideep Pathak, Zhixin Lu, Brian R Hunt, et al.
Chaos (Woodbury, N.Y.)|May 1, 2017
Reservoir observers: Model-free inference of unmeasured variables in chaotic systemsZhixin Lu, Jaideep Pathak, Brian Hunt, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 23, 2002
Simple model of epidemics with pathogen mutationMichelle Girvan, Duncan S Callaway, M E J Newman, et al.
Pageof 7

Showing results (31-40 of 65) with videos related to

Sort By:
Pageof 7
Chaos (Woodbury, N.Y.)|December 3, 2008
Echo phenomena in large systems of coupled oscillatorsEdward Ott, John H Platig, Thomas M Antonsen, et al.
Plos One|September 28, 2021
An integrated model for interdisciplinary graduate education: Computation and mathematics for biological networksKelsey E McKee, Daniel Serrano, Michelle Girvan, et al.
Physical Review Letters|January 30, 2018
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing ApproachJaideep Pathak, Brian Hunt, Michelle Girvan, et al.
Chaos (Woodbury, N.Y.)|April 3, 2021
Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticityDhruvit Patel, Daniel Canaday, Michelle Girvan, et al.
Chaos (Woodbury, N.Y.)|July 5, 2011
Local synchronization in complex networks of coupled oscillatorsJohn Stout, Matthew Whiteway, Edward Ott, et al.
Plos One|March 17, 2017
The myopia of crowds: Cognitive load and collective evaluation of answers on Stack ExchangeKeith Burghardt, Emanuel F Alsina, Michelle Girvan, et al.
Plos One|March 7, 2012
Interpreting patterns of gene expression: signatures of coregulation, the data processing inequality, and triplet motifsWai Lim Ku, Geet Duggal, Yuan Li, et al.
Chaos (Woodbury, N.Y.)|January 1, 2018
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from dataJaideep Pathak, Zhixin Lu, Brian R Hunt, et al.
Chaos (Woodbury, N.Y.)|May 1, 2017
Reservoir observers: Model-free inference of unmeasured variables in chaotic systemsZhixin Lu, Jaideep Pathak, Brian Hunt, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 23, 2002
Simple model of epidemics with pathogen mutationMichelle Girvan, Duncan S Callaway, M E J Newman, et al.
Pageof 7