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Evolution: from Biology to Statistical Modeling
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Holland's genetic algorithm was originally inspired by biological evolution. It has become a vast domain of machine learning, with various sub-domains, one of which is statistical modeling. This workshop aims to re-examine the big picture, from biological evolution to statistical modeling applications, seeking new inspirations and synergies from contemporary biology, contemporary computer science, and contemporary statistical modeling, as they have developed since the origin of the genetic algorithms.
The course material will be divided into three broad areas:
evolution, including phylogentic analysis, chemical evolution, and artificial life evolution; genetic algorithms, their foundations and design; applications in statistical modeling. The summer school aims to create space for the exploration and development of synergies between these broad thrusts.
The workshop will last for seven days, July 3-9. The default schedule will have lectures, short presentations and discussions. There will also be a poster session for participants to present their work. Mid-week will include time for exploration of the spectacular surroundings.
Participants in the summer school will include both advanced students and faculty researchers. The talks will be at a high technical level, but comprehensible to scientists in other fields.
The school is organized by:
The school is sponsored by:
and it is patronized by:
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July, 3-9, 2004 Erice (Italy) REGISTRAZIONE ENTRO: 21 Giugno
Directors
Mario di Bacco University of Bologna, Italy Norman Packard Santa Fe Institute, N.M., USA Irene Poli University Ca' Foscari, Venice, Italy Francesco Scalfari Polo Universitario, Asti, Italy
Speakers
For further informations:
Prof. Irene PoliDepartment of Statistics Campiello San Agostin, 2347 S. Polo 30125 Venice, Italy Phone: 041 2347418 Fax: 041 710355 e-mail: irenpoli@unive.it |