Workshop/Seminars
Workshop on Multiple Model approaches to modelling and Control:
Interfaces between Control theory and Statistics
The multiple model approach to modelling nonlinear systems has been attracting increasing levels of interest. This workshop aims to bring together researchers from statistics/neural networks with control researchers working
in the area of blended or switching systems.
Place: Monday 12th April 1999, IMM, DTU, building 321 room 053.
Click here for
more information.
Markov Chain Monte Carlo
We make an effort
to learn about Markov Chain Monte Carlo (MCMC) methods.
The idea has
been motivated by the fact MCMC methods are
currently a rapidly expanding area, both theoretically and not the
leastin in terms of
applications.
Click here for
more information.
Conferences
IEEE Neural Networks for Signal Processing 2000:
December 11-13, 2000; Sydney, Australia.
(Deadline for submission full paper: March 31, 2000)
Courses
Advanced methods for non-parametric modelling
In this course we teach non-linear,
non-parametric modelling. We will discuss the fundamental issues
involved in modelling and describe some prominent methods including
both non-Bayesian and Bayesian approaches to neural networks. The
choice of topics is not exhaustive, but rather governed by our
experience and personal inclinations.
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here for more information.
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