In this video, we provide essential "math help" by explaining how to apply graphical shifts and "transformations" to ...

Abstract: In this article, we propose two distributed iterative algorithms that can be used to solve the distributed optimization problem for quadratic local cost functions over large-scale networks ...

Abstract: The k-nearest neighbors algorithm (kNN) is renowned for solving classification tasks. The notion of kNN is to seek similar data instances in the dataset as prediction reference, for which ...