2006 Events Archives

Conferences, Lectures and Workshops

The 4th Annual Kolmogorov Lecture
3 February
Professor Jorma Rissanen
"The Structure Function and Distinguishable Models of Data"

MINOS '06
April
The sixth annual conference, hosted by the Department of Computer Science, on micromouse design and the organisation of the National Micromouse Competition on 10 June 2006 at TIC, Birmingham

Taster Course
May
"Surfing, not drowning, in information" - a day's programme for sixth-formers (part of the University of London's Taster Course).

Seminars

Friday 3 February (1 pm, Tolansky 125)
Hans-J. Lenz, Freie University, Germany
Trouble Shooting by Baysian Networks

Tuesday 28 March (1 pm, McCrea 325)
Anna Fukshansky, Royal Holloway, University of London
Selection-mutation balance: Introduction of a finite genome and sexual reproduction in a haploid population

Thursday 30 March (1 pm, Tolansky 125)
Hajo Broersma, Durham University
Toughness in graphs

Tuesday 25 April (1 pm, McCrea 336)
Christophe Costa Florencio, Royal Holloway, University of London
Formal learning theory and linguistics

Wednsday 14 June 2006 (12:30pm, International Building 243)
Tara Gianoulis, Yale University
The biologist's side to networks and chips

Wednesday 5 July (1 pm, McCrea 336)
Michael Henning, University of KwaZulu-Natal
Total domination in graphs and transversals in hypergraphs

Friday 29 September (4 pm. Windsor 0-04)
Zhengdong Zhang, Yale University
Bayesian analysis of array CGH data via Markov chain Monte Carlo simulation

Thursday 19 October (2 pm, International Building 045)
Jack Edmonds, Waterloo University
Second Hamiltonian Paths

Friday 20 October (2 pm, Bedford Library Seminar Room)
Glenn Shafer, Royal Holloway, University of London
Moving the Dempster-Shafer Theory forward

Tuesday 31 October (1 pm, Bedford Library Seminar Room)
Ran El-Yaniv, Israel Institute of Technology
Recent Advances in Transductive Learning

Tuesday 21 November (1 pm, International Building 243)
Vladimir Temlyakov, University of South Carolina, USA
Universality in approximation and estimation