[ please distribute - apologies for multiple postings ]
Dear colleagues,
We would like to announce that we are organizing a symposium to
celebrate Alexey Chervonenkis’ 75th birthday. The symposium, entitled
"Measures of Complexity", will be held in conjunction with the 9th IFIP
International Conference on Artificial Intelligence Applications and
Innovations (http://aiai2013.cut.ac.cy). It will take place in Paphos,
Cyprus at the (5 star) Azia Resort and Spa on the 2nd of October 2013.
Alexey Chervonenkis has made a long and outstanding contribution to the
area of pattern recognition and computational learning. His first book
on Pattern Recognition was published in 1974 (with Professor Vladimir
Vapnik) and he has become an established authority in the field.
Together they developed the whole new research area of "statistical
learning theory" and pioneering ideas such as the inductive principle of
structural risk minimization and VC-dimension.
Professor Chervonenkis has been working in the Research Institute of
Control Problems at the Russian Academy of Sciences in Moscow for many
years and has won many prestigious prizes. He now divides his time
between the Academy and the Computer Learning Research Centre of Royal
Holloway, University of London.
The symposium will include talks by
* Alexey Chervonenkis (Russian Academy of Sciences; Yandex, Russia;
Royal Holloway, University of London, UK)
* Vladimir Vapnik (NEC, USA; Royal Holloway, University of London, UK)
* Victor Brailovsky (Tel Aviv University, Israel)
* Richard Dudley (MIT, USA)
* Konstantin Vorontsov (Russian Academy of Sciences)
* Yuri Bakhtin (Georgia Institute of Technology, USA)
* Alexander Gammerman (Royal Holloway, University of London, UK)
* Vladimir Vovk (Royal Holloway, University of London, UK)
We hope to see you at the symposium!
Best regards,
Harris Papadopoulos, Andreas S. Andreou, Vladimir Vovk and Alex Gammerman
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai