In this work, we propose theoretical and algorithmic-independent recovery conditions which guarantee the uniqueness of block sparse recovery in general dictionaries through a general mixed norm ...

In this paper, after synthesizing multi-index factors of node importance, including eigenvector centrality, betweenness centrality, closeness centrality, degree centrality, mutual-information, etc., ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear. Learn With Jay.

As reported by The Wall Street Journal, this provision would block state and local governments from regulating automated decision systems, including rent-setting algorithms, for the next ten years.

Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...