Search for tag: "missing"
Adding Alternative Text in CanvasAdding Alternative Text in Canvas (length: 1:44) from the Ally Training Workshop In this training workshop, learn to use Ally, a new tool in Canvas to help improve course accessibility. The workshop…
From Cornell CTI
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A Long Movement: How the Trump Phenomenon Dates Back to 1964In 1964, Barry Goldwater lost the presidential election to Lyndon Johnson. At the time, most observers thought it was a “one-off.” Fifty-two years later, Donald Trump won the election.…
From Kenny Berkowitz
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Milstein Invited Lecture - Keyon VafaZoom Recording ID: 96610307248 UUID: Ulr/E83kRWGGHY19KZmk9A== Meeting Time: 2020-06-25T23:47:07Z
From Tapan Parikh
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ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank ModelsPrincipal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…
From E. Cornelius
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ORIE Colloquium on 2/6/2014 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing DataThursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy…
From E. Cornelius
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CAM Colloquium, 2016-09-23 - Madeleine Udell: Generalized Low Rank Models: Algorithms and ApplicationsAbstract: In this talk, we introduce an optimization-based framework called Generalized Low Rank Models designed to uncover structure in big messy data sets. These models generalize…
From E. Cornelius
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