These pages provide information about recent developments at or relevant to the ILLC. Please let us know if you have material that you would like to be added to the news pages, by using the online submission form. For minor updates to existing entries you can also email the news administrators directly. English submissions strongly preferred.
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6 May 2003, Zuidelijk Interuniversitair Colloquium (ZIC), Bas Spitters
For abstracts and more information, see http://www.win.tue.nl/zic/ or contact Francien Dechesne (f.dechesne at uvt.nl).
9 May 2003, Long Live the Mathematics! Passion for the field., Korteweg-de Vries Institute, Pl. Muidergracht 24, Amsterdam
The Institute organises an Open Day as the opportunity to make yourself acquainted with its progressive research. Its people are open for questions and discussions about both research as education within the field of mathematics. The program comprises lectures and an informationmarket.
For more information and submission, see http://www.science.uva.nl/congres/ or call 020-5257865. Brochures can be obtained at ILLC Office.
14 May, Logic Tea, Marian Counihan
The Logic Tea homepage can be found at http://staff.science.uva.nl/~debruin/logic_tea.html
16 May 2003, Computing with LLI Seminar, Jan Kleinnijenhuis
(VU Amsterdam)
For abstracts and more information, see http://lit.science.uva.nl/News/seminar03-1.html#May16.
16 May 2003, DIP Colloquium, Henk Verkuyl
For abstracts and more information, see https://www.illc.uva.nl/dip/.
20 May 2003, Zuidelijk Interuniversitair Colloquium (ZIC), Ana Sokolova , Falk Bartels
For abstracts and more information, see http://www.win.tue.nl/zic/ or contact Francien Dechesne (f.dechesne at uvt.nl).
23 May 2003, Computing with LLI Seminar, David Harper
(Robert Gordon University, Aberdeen)
For abstracts and more information, see http://lit.science.uva.nl/News/seminar03-1.html#May23.
26 May 2003, MDL and classification, revisited, Troy Lee
Abstract:
The Minimum Description Length (MDL) Principle is a powerful
method for model selection. The theoretical development of MDL
has mostly centered around probabilistic modeling. Yet practical
applications of MDL often involve models which are best viewed
as predictors rather than probability distributions. The standard
example is classification, one of the most popular applications of
MDL ever since its inception. MDL has been applied to such
non-probabilistic models in various ways. We review these approaches
and show that, contrary to what is often thought, they can exhibit
some rather problematic behaviour: on the theoretical side, it is not
known whether the resulting procedures are consistent (none of
the existing proof techniques can be applied). On the practical side,
the methods can behave quite unreasonably for small data samples.
We analyze the reasons for this undesirable behaviour and propose
a radical, general and surprising solution to the problem.
26 May 2003, Spinoza Lectures (held in English), Prof. Hubert L. Dreyfus (University of California, Berkeley)
From Socrates to A.I. researchers, it's assumed that intelligence is based on features and rules. Thus, expert system builders assume [...] situation-action rule on the basis of features. But such systems have failed. Dreyfus will argue why.
For more information, please see here or contact illc at science.uva.nl
30 May 2003, Colloquium on Mathematical Logic, Harry Buhrman
(Bus 12 from Utrecht Central Station).
For abstracts and more information, see http://www.math.uu.nl/people/jvoosten/seminar.html