May 01, 2019

Per-sample Prediction Intervals for Extreme Learning Machines

  • Akusok A.
  • Bjork K.
  • Lendasse A.
  • Miche Y.

Prediction Intervals in supervised Machine Learning bound the region where the true outputs of new samples may fall. They are necessary for separating reliable predictions of a trained model from near random guesses, minimizing the rate of False Positives, and for other problem-specific tasks in applied Machine Learning. Stochastic projection functions ii many real problems do not  correspond to homoscedastic assumption of the noise in a dataset, and the input-independent variance of noise computed by Mean Squared Error performs poorly in such cases. The paper proposes to use the weighted Jackknife estimator of the output weights variance, and a methodology to compute input-specific Prediction Intervals from that variance. The key features of the proposed methodology are robustness to heteroscedastic noise, standard formulation of ELM, short runtime and feasibility for large datasets.

View Original Article

Recent Publications

August 01, 2019

Protecting photonic quantum states using topology

  • Blanco-Redondo A.

The use of topology to protect quantum information is well-known to the condensed-matter community and, indeed, topological quantum computing is a bursting field of research and one of the competing avenues to demonstrate that quantum computers can complete certain problems that classical computers cannot. In photonics, however, we are only ...

May 01, 2019

Digital networks at the nexus of productivity growth

  • Kamat S.
  • Prakash S.
  • Saniee I.
  • Weldon M.

This paper takes a fresh look at the debate over the relationship between digital technology and productivity. The argument of economic historian Robert J. Gordon is that digital technology will not lead to increases in productivity such as we saw in the last century, based on his analysis of the ...

January 01, 2019

Friendly, appealing or both? Characterising user experience in sponsored search landing pages

  • Bron M.
  • Chute M.
  • Evans H.
  • Lalmas M.
  • Redi M.
  • Silvestri F.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Many of today's websites have recognised the importance of mobile friendly pages to keep users engaged and to provide a satisfying user experience. However, next to the experience provided by the sites themselves, ...