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David Glickenstein: Discrete conformal geometry and adversarial examples of neural networks Abstract: Discrete differential geometry is a field that uses the ideas and techniques of differential…
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Geometry of portfolios. Minimum-variance line (curve). mat133-2021s-notes-2021-06-02.pdf 3D graphics: hw6B_3D_1_X=6_Y=8_Z=0.html hw6B_3D_2_X=6_Y=8_Z=0.html Videos and all other materials are…
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Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. For fixed k, the method finds a convex polytope with k vertices, called archetype…
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ECS-175 Lecture 2020-12-10 at 11:00
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ECS-175 Lecture 2020-12-08 at 11:00
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Modeling with convex multipliers. notes-2020-12-09-a.pdf Videos and all other materials are copyright 2020 Matthias Köppe and shared as Open Educational Resources subject to the Creative…
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The stable set (independent set) problem: Integer programming formulations, Chvátal–Gomory cuts. notes-2020-12-04.pdf Videos and all other materials are copyright 2020 Matthias…
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ECS-175 Lecture 2020-11-17 at 11:00
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ECS-175 Lecture 2020-11-12 at 11:00
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ECS-175 Lecture 2020-11-10 at 11:00
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ECS-175 Lecture 2020-11-05 at 11:00
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