Blogs

Machine Learning Blog

MPhil-PhD transfer – Simon Odense – 30 Nov, 12noon, EM01

News, Seminar.

MPhil-PhD transfer presentation

When: Thu, 30 Nov 2017, 12noon
Where: EM01

Who: Simon Odense, City, University of London

Title: Compact Rule Extraction from Probabilistic Neural Networks

Abstract: I will discuss new techniques for extracting M-of-N rules from restricted Boltzmann machines. I will begin by discussing rule extraction and its importance for explainable AI before describing a method for extending the extraction of conjunctive confidence rules to the more compact M-of-N rules. Comparative results between extraction algorithms will be presented and several possible experimental applications will be discussed. I will also discuss methods of assigning confidence values to extracted rules in a logical way and how to factor in compactness/interpretability in the extraction process.

All welcome!

Comments are closed.

Find us

City, University of London

Northampton Square

London EC1V 0HB

United Kingdom

Back to top

City, University of London is an independent member institution of the University of London. Established by Royal Charter in 1836, the University of London consists of 18 independent member institutions with outstanding global reputations and several prestigious central academic bodies and activities.