Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Abstract--Formal methods are very useful in software industry and are becoming of paramount importance in practical engineering techniques. They involve the design and the modeling...
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
Conventional routing algorithms in mobile ad hoc networks (MANETs), i.e., multi-hop forwarding, assume the existence of contemporaneous source-destination paths and are not scalabl...
In this article, we discuss a naive method of randomness reduction for cryptographic schemes, which replaces the required perfect randomness with output distribution of a computat...