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Researchers strive to help models learn from 'noisy' data | Colorado Arts and Sciences Magazine

CU Boulder’s Bortz group, in applied math, wins $1.88 million National Institutes of Health grant to study methods for learning models directly from noisy data. ....

United States , Xuedong Liu , Boulder Bortz , April Tran , Beth Carlton , David Bortz , Division Of Biophysics , National Institute , National Institutes Of Health , Investigator Research Award , University Of Colorado Boulder , Biomedical Technology , National Institutes , Colorado Boulder , Maximizing Investigator Research Award , Sparse Identification , Nonlinear Dynamics , Dan Messenger , Computational Biosciences , General Medical Sciences ,

Physically informed data-driven modeling of active nematics

Physically informed data-driven modeling of active nematics
science.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from science.org Daily Mail and Mail on Sunday newspapers.

Lavision Davis , Dogic Group At Brandeis University , Supplementary Materials , Sparse Identification , Nonlinear Dynamics , Dogic Group , Brandeis University , Alexa Flour ,

How To Learn the Equations of Cell Migration

An equation-learning technique has been developed to grasp how cells respond to the proximity and motion of other cells during mass migration. ....

United States , Xuedong Liu , Graycen Wheeler , David Bortz , Journal Of The Royal Society Interface , Sparse Identification , Nonlinear Dynamics , Royal Society , Royal Soc ,