Abstract: This paper investigates the problem of recursive resilient filtering for discrete-time nonlinear dynamical networks with randomly switching topologies under randomly occurring faults and ...

Abstract: In this article, we introduce a dynamic generative model, the Bayesian allocation model (BAM), for modeling count data. BAM covers various probabilistic nonnegative tensor factorization (NTF ...

Financial advisors need to look beyond averages when analyzing private investments to understand the full performance picture ...

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

With increasing light intensity, the photoelectron energy distribution shows a discrete, comb-like structure characterized by a sequence of peaks that are separated exactly by the photon energy, ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many ...

A complete list of papers about adversarial examples It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable ...

GWA studies of MDD have had notable difficulties in identifying individual associated loci 12. For example, there were no significant findings in the initial Psychiatric Genomics Consortium (PGC) MDD ...