Connectionists: INIT/AERFAI Summer School on Machine Learning 2017

Tue May 16 12:23:34 EDT 2017

Call for Participation (apologies for multiple copies)

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*AERFAI/INIT Summer School on Machine Learning Benicássim, June 26-30,
2017URL: www.init.uji.es/school2017
<http://www.actualweb.es/actualmail/lt.php?id=fkwHBAsGGAADDUQBVQMFVw>E-mail:
info-init at uji.es
<info-init at uji.es>*

*DESCRIPTION*

The 3rd INIT/AERFAI Summer School on Machine Learning is organized by the
Institute of New Imaging Technologies (INIT) of the University Jaume I of
Castellón, and co-sponsored by the Spanish Association of Pattern
Recognition and Image Analysis (AERFAI). The focus of this Summer School is
to study fundamental and advanced methods aimed at discovering new
challenges and trends of Machine Learning, Data Analysis and Data Mining,
from theory to practice. This event is open to graduate students,
researchers and professionals who are interested in learning or refreshing
their knowledge about this exciting field.

The Summer School is organized as a five-days intensive course to be held
June 26-30, 2017 in Benicàssim (Spain). Leading experts in their respective
areas shall give each tutorial, which may be accompanied with a practice
session and/or demos in order for participants to gain a better
understanding of the theory. There will also be a non-formal poster session
in which the participants can present their current works and interact with
their scientific peers. The best poster will be awarded with a prize.

*LIST OF LECTURERS*

Ensemble Learning: Dr. Gavin Brown – University of Manchester (UK)
Probabilistic Graphical Models: Dr. Guillaume Obozinski – Ecole des Ponts
ParisTech (France)
Deep Learning: Dr. Roland Memisevic – Twenty Billion Neurons GmbH (Germany)
Adversarial Machine Learning: Prof. Fabio Roli – University of Cagliari
(Italy)
Semi-Supervised Learning: Prof. Marco Loog – Delft University of Technology
(The Netherlands) and University of Copenhagen (Denmark)
Learning Classifiers from Streaming Data.: Dr. Jerzy Stefanowski – Poznan
University of Technology (Poland)
ROC Analysis and Performance Metrics in Machine Learning: Prof. Peter Flach
– University of Bristol (UK)
Evolutionary Computing: Models, Scalability and Big Data Approaches: Dr.
Salvador García – University of Granada (Spain)

*ORGANIZATION CO-CHAIRS*
Prof. J. Salvador Sánchez, sanchez at uji.es
Prof. Filiberto Pla, pla at uji.es

*REGISTRATION*

Fees for the AERFAI/INIT School 2017 are as follows:

AERFAI members - Early registration (by May 20, 2017): Full ... 350 Euros /
Student ... 300 Euros / One-day ... 100 Euros
AERFAI members - Late registration (after May 20, 2017): Full ... 400 Euros
/ Student ... 350 Euros / One-day ... 125 Euros
Non-members - Early registration (by May 20, 2017): Full ... 550 Euros /
Student ... 450 Euros / One-day ... 150 Euros
Non-members - Late registration (after May 20, 2017): Full ... 600 Euros /
Student ... 500 Euros / One-day ... 175 Euros

Regular and student registration fees cover attendance to all lectures,
handling material, coffee breaks, five lunches, trip and gala dinner. The
one-day registration allows access to the lecture(s) of the day chosen,
handling material, coffee breaks and one lunch. Information about the
process of payment will be announced at the web site.

*VENUE*

AERFAI/INIT School 2017 will be held at Hotel Intur Bonaire and Hotel Intur
Orange in Benicássim. The hotels are located 200 meters from one of the
best fine sandy beaches in Benicássim at the Mediterranean coast. It is 10
minutes from the city of Castellón and the train station, while the
Valencia airport is about 45 minutes by car.

*ACCOMMODATION*

Participants will have a special group rate at Hotel Intur Bonaire, Hotel
Intur Orange and Hotel Intur Azor, as well as other hotels very close to
the AERFAI/INIT School 2017 venue. More information about reservation is
available at the web site.

*CONTACT*

AERFAI/INIT School 2017
Institute of New Imaging Technologies
Universitat Jaume I
Av. Vicent Sos Baynat, s/n
12071 Castellón de la Plana (Spain)
Tel. +34 964728348 <http://www.aerfai.org/tel:964%2072%2083%2048> / +34
964728350 <http://www.aerfai.org/tel:964%2072%2083%2050> / +34 964728727
<http://www.aerfai.org/tel:964%2072%2087%2027>
Fax +34 964728730 <http://www.aerfai.org/tel:964%2072%2087%2030>
E-mail: info-init at uji.es
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