Skip to main content
King Abdullah University of Science and Technology
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Bayesian Deep Learning

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Postdoctoral Fellows
  • Events
    • All Events
    • Events Calendar
  • News
  • Projects
  • Topics
  • Courses
  • Theses
  • Publications

processing

Faster prediction of wireless downtime

1 min read · Sat, Jul 2 2016

News

applied mathematics computational science signal processing Computer science

An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.

Bayesian Deep Learning (BDL)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice