We appreciate if you can forward this Announcement to
potential
candidates.
SECOND ANNOUNCEMENT
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SUMMER SCHOOL NN2005 - with a special poster session and workshop
NEURAL NETWORKS in CLASSIFICATION, REGRESSION and DATA MINING
July 4-8, 2005, ISEP - Porto, Portugal;
http://www.nn.isep.ipp.pt;
nn-2005(a)isep.ipp.pt
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GENERAL INFORMATION
The Summer School will be held at Porto, Portugal, jointly organized by
the Polytechnic School of Engineering of Porto (ISEP) and the Faculty of
Engineering, Porto University (FEUP).
This year's edition, NN2005, includes a special WORKSHOP SESSION providing
a discussion forum where the participants can obtain peer guidance for
their projects.
Previous editions of the Summer School have reached a considerable
success.
Two opinions:
"NN2003 addressed current topics in neural networks and machine learning
in a thorough and accessible manner ... presented relatively new material
that I found extremely useful ... there was something for experts as well
as for beginners" - Prof. Darrel Whitley, Colorado State University.
"The Summer School ... was of a most impressive quality. ... the students
were
quickly brought up to a level where they could be introduced to more
advanced material ... excellent introductions to neural networks, support
vector machines, and genetic algorithms ... the students could further
master their skills by applying the course material to case studies in a
state-of-the art computer laboratory...a most impressive extensive guest
program ... I highly recommend this course" - Prof. Mark J. Embrechts,
Rensselaer Polytechnic Institute.
PROGRAMME COMMITTEE (PROVISIONAL)
Christopher Bishop (Assistant Director, Microsoft Research, Cambridge,
U.K.)
Fernando Sereno (Assistant Professor, High School of Education,
Portugal)
Joaquim Marques-de-Sá, Programme Chair (Associate Professor, Dept.
Electr. and Comp. Engineering; Fac. of Engineering, University of Porto,
Portugal)
José Carlos Príncipe (BellSouth Professor, Director Computational
NeuroEngineering, University of Florida, USA)
Juergen Schmidhuber (Professor Scuola Universitaria Professionale,
Lugano, Switzerland)
Luís Alexandre (Assistant Professor, Beira Interior University,
Portugal)
Mark Embrechts (Associate Professor at the Decision Sciences and
Engineering Systems Faculty, Rensselaer Polytechnic Institute, RPI Troy,
USA)
Paulo Cortez (Assistant Professor, University of Minho, Portugal)
Steve R. Gunn (Senior Lecturer, Dept. of Electronics and Computer
Science, University of Southampton, UK)
LOCAL ORGANIZING COMMITTEE (LOC)
- Alzira Faria - Assistant, Dept. Mathematics, ISEP, Portugal
- Jorge M. Santos - Assistant, Dept. Mathematics, ISEP, Portugal
- Rui Chibante - Assistant, Dept. Mathematics, ISEP, Portugal
COURSE CONTENTS
Neural networks (NN) have become a very important tool in classification
and
regression tasks. The applications are nowadays abundant, e.g. in the
engineering, economy and biology areas. The Summer School on NN is
dedicated
to explain relevant NN paradigms, namely multilayer perceptrons (MLP),
radial basis function networks (RBF), support vector machines (SVM) and
entropy-based networks (ENN) used for classification and regression tasks,
illustrated with applications to real data. Specific topics are also
presented, namely relevance vector machines, recurrent networks,
co-operative structures of NN and data mining using NN.
Classes include practical sessions with appropriate software tools. The
trainee has, therefore, the opportunity to apply the taught concepts and
become conversant with a broad range of NN topics and applications.
A special workshop session will provide a discussion forum where the
participants can obtain peer guidance for their projects.
Official language is English.
PRELIMINARY PROGRAMME
A preliminary programme and further informations about the classes
are available at the school webpage (
http://www.nn.isep.ipp.pt)
POSTER and WORKSHOP SESSION
In the session "Workshop and Poster", we intend to discuss some of the
posters presented by the participants.
The purpose of the poster is to present some problem that the participant
wish to discuss with the lecturers and other participants, as a way of
getting some advise in the better way to solve it using neural networks.
Encouraging this form of participation as a means of interaction and
cooperative learning, we invite you to present a poster with a specific
problem, especially one involved with your research.
IMPORTANT DEADLINES
Early Registration: 15 May 2005
Hotel booking: 15 June 2005
Summer School: 4-8 July 2005
All participants are required to register prior to the start of the School
- until the 15th of June - even if you choose to pay the late registration
fee at the registration desk.
Please note that only a LIMITED number of participants can be
accepted.
REGISTRATION
In order to attend the School you must fill in the registration form,
available at the School web page. Please note that if you have any guests
who would like to take part in the social programme, you must register
them as well, by filling in the corresponding field in the registration
form.
SCHOOL FEES
The registration fee for participants amounts to:
- Early registration fee (paid before the 15th of May)
* 300 Euro (students, ISEP and FEUP staff)
* 350 Euro (all other participants)
- Late registration fee (paid after the 15th of May)
* 350 Euro (students, ISEP and FEUP staff)
* 400 Euro (all other participants)
The registration fee includes:
* school package (manuscripts, CD)
* coffee breaks
* daily lunch
* welcome reception
* school banquet
NOTE: The registration fee for those who attended previous editions
amounts to 20 euro per lecture and includes the school package and
coffee-breaks. Please, contact the LOC for further details.
CONTACT ADDRESS
NN2005 Secretariat
Ms. Gabriela Afonso
Email: gafonso(a)fe.up.pt
Local Organizing Committee (LOC) - Summer School NN2005
Departamento de Matemática
Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida 431
4200-072 PORTO / PORTUGAL
Email: nn-2005(a)isep.ipp.pt
http://www.nn.isep.ipp.pt
Programme Chair:
Prof. Marques de Sá
Tel. 225081828 - Email: jmsa(a)fe.up.pt
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