Search for tag: "function"
Oct 15, 2021 Catherine MooreZoom Recording ID: 82084169932 UUID: VXTqOKHgSBKpnCG0lpOVtw== Meeting Time: 2021-10-15T18:46:27Z
From Wayne Wakeland
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6.3a - Measuring Executive Function & Implicit PrejudiceUnit 6 (Groups) Lesson 3 (Intergroup Interactions) Part A (Measuring Executive Function & Implicit Prejudice)
From Tessa Dover
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6.1b - DeindividuationUnit 6 (Groups) Lesson 1 (Intragroup Phenomena) Part B (Deindividuation)
From Tessa Dover
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2018 Oct 12, Meir Pachter, Air Force Institute of Technology Many-on-one pursuitMeir Pachter, Air Force Institute of Technology Many-on-one pursuit We consider swarm pursuit-evasion dierential games in the Euclidean plane where an evader is engaged by multiple pursuers and…
From Kathie Leck
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2018 Oct 5, Marilyn Carlson, Arizona State University A research-based approach for improving precalculus teaching and learningMarilyn Carlson, Arizona State University A research-based approach for improving precalculus teaching and learning The function concept is a central idea of precalculus and beginning calculus and…
From Kathie Leck
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2019 Apr 12, Alan Demlow, Texas A&M University Geometric errors in surface finite element methodsAlan Demlow, Texas A&M University Geometric errors in surface finite element methods Surface finite element methods (SFEM) are widely used to approximately solve partial differential equations…
From Kathie Leck
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2019 Apr 26, Alexandre Tartakovsky, Pacific Northwest National Laboratory Learning parameters and constitutive relationships with physics informed deep neural networksAlexandre Tartakovsky, Pacific Northwest National Laboratory Learning parameters and constitutive relationships with physics informed deep neural networks We present a physics informed deep neural…
From Kathie Leck
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2019 May 10, Tavis Abrahamsen, Duke University Convergence analysis of MCMC samplers for Bayesian linear mixed models with p NTavis Abrahamsen, Duke University Convergence analysis of MCMC samplers for Bayesian linear mixed models with p > N For the Bayesian version of the General Linear Mixed Model (GLMM), it is…
From Kathie Leck
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6/7/2019, Andrew Womack, Indiana University–Bloomington Horseshoes with heavy tailsAndrew Womack, Indiana University–Bloomington Horseshoes with heavy tails In high dimensional problems, the usual two groups problem of model selection is impossible due to the combinatorial…
From Kathie Leck
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