Search for tag: "good approximation"

Diffraction (Part 1)

2017 PARADIM Diffraction part 1 David Muller

From  James Overhiser 241 plays

Kotliar1.mp4

From  James Overhiser 19 plays

ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models

Principal 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 4 plays

CAM Colloquium: Anima Anandkumar (UC Irvine) - Fast and Guaranteed Learning of Overlapping Communities via Tensor Methods

Detecting hidden communities in networks is an important problem. A community refers to a group of related nodes. For instance, in a social network, it can represent individuals with shared interests…

From  E. Cornelius 3 plays