----- Forwarded message from [email protected] -----
    Date: Tue, 25 Jan 2011 17:18:28 +1300
    From: Will Browne <[email protected]>
 Subject: FW: Rejected posting to [email protected]
      To: [email protected]

Dear Sir/Mdm,

As co-track chair for the Genetics-based Machine Learning track of GECCO
2011, I have been tasked with publicising the CFP to members of the academic
community who might be interested in attending.

The scope of the track includes '... The field of Learning Classifier
Systems (LCS), introduced by John Holland in the 1970s, is one of the most
active and best-developed forms of GBML and we welcome all work on LCSs.
Artificial Immune Systems (AIS) is an important family of techniques
included in this track, which takes inspiration of different immunological
mechanisms in vertebrates in order to solve computational problems.
Moreover, neuroevolution technologies, which combine neural network
techniques with evolutionary computation, are welcome. However, also any
other related technique or approach will be considered gladly... ', which
may be of interest to members of your e-mail list.

If you agree, then please forward the attached message. Else, apologies for
taking up your time.

Thank you for your consideration.

Yours faithfully

Will

Dr. Will Browne, Victoria University of Wellington, NZ
([email protected])


-----Original Message-----
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Sent: Tuesday, 25 January 2011 2:17 p.m.
To: [email protected]
Subject: Rejected posting to [email protected]

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--- Begin Message ---
===========================================================================

GECCO 2011: GENETICS-BASED MACHINE LEARNING (GBML) TRACK

2011 Genetic and Evolutionary Computation Conference (GECCO-2011) July
12-16, Dublin, Ireland 

============================================= apologies for cross-posting
=======

 

*** DEADLINE EXTENDED TO FEBRUARY 9th ***
    https://ssl.linklings.net/conferences/gecco
        http://www.sigevo.org/gecco-2011
          http://twitter.com/GECCO2011

10 reasons to submit to the Genetics-Based Machine Learning track of GECCO
2011 [http://www.sigevo.org/gecco-2011/organizers-tracks.html#gbml] :

1) Disseminate state-of-the-art research in the field of GBML.

2) Genetic and Evolutionary Computation Conference (GECCO) is one of the
most prestigious double-blind peer review conference in Evolutionary
Computation. Based on its impact factor, GECCO is 11th in the rankings of
701 international conferences in artificial intelligence, machine learning,
robotics, and human-computer interactions.

3) Share interesting and related work - for a range of suggested topics from
AIS to ZCS, please see the CFP
[link:http://www.sigevo.org/gecco-2011/organizers-tracks.html#gbml] .

4) Experience Dublin [link: www.timeout.com/dublin/], Ireland – a contender
for the greatest city in Europe according to the Lonely Planet travel guide
[link: www.lonelyplanet.com/ireland/dublin].

5) Choose from the 31 tutorials and 14 workshops given by world leading
experts in their field, e.g. 
Learning Classifier Systems (Martin V. Butz), 
Large Scale Data Mining using Genetics-Based Machine Learning (Jaume
Bacardit and Xavier Llorà), 
Statistical Analysis for Evolutionary Computation.

6) Fourteenth International Workshop on Learning Classifier Systems
co-hosted with GECCO - http://home.dei.polimi.it/loiacono/iwlcs2011/
Welcoming and cutting-edge workshop on all aspects of LCS from EC platforms
to data visualisation to core theory to latest advances.

7) Visit Ireland's most popular tourist attraction - the Guinness Factory -
in the social event.

8) Fascinating range of 16 other tracks from 'Digital Entertainment
Technologies and Arts' to 'Artificial Life/Robotics/Evolvable Hardware'.

9) Competitions, from GPUs for Genetic and Evolutionary Computation to a
Demolition Derby.

10) Catch-up and meet new colleagues through cheap flights and
accommodation. Escaping the office and administration helps stimulate
research and collaboration!


====================================================================

GECCO 2011: Call for Papers on GENETICS-BASED MACHINE LEARNING (GBML)

2011 Genetic and Evolutionary Computation Conference (GECCO-2011) July
12-16, Dublin, Ireland 

====================================================================

 

The Genetics-Based Machine Learning (GBML) track encompasses advancements
and new developments in any system that addresses machine learning problems
with evolutionary computation methods. Combinations of machine learning with
evolutionary computation techniques are particularly welcome.

 

Machine Learning (ML) presents an array of paradigms -- unsupervised,
semi-supervised, supervised, and reinforcement learning -- which frame a
wide range of clustering, classification, regression, prediction and control
tasks. The combination of the global search capabilities of Evolutionary
Computation with the reinforcement abilities of ML underlies these problem
solving tools.

 

The field of Learning Classifier Systems (LCS), introduced by John Holland
in the 1970s, is one of the most active and best-developed forms of GBML and
we welcome all work on LCSs. Artificial Immune Systems (AIS) is an important
family of techniques included in this track, which takes inspiration of
different immunological mechanisms in vertebrates in order to solve
computational problems. Moreover, neuroevolution technologies, which combine
neural network techniques with evolutionary computation, are welcome.
However, also any other related technique or approach will be considered
gladly. See the list of suggested (but not limited to) topics at:

 

http://www.sigevo.org/gecco-2011/organizers-tracks.html#gbml

 

For more information on GECCO 2011 visit:

 

http://www.sigevo.org/gecco-2011/.

 

Sincerely,

Track Organizers

Dr. Will Browne, Victoria University of Wellington, NZ
([email protected])

Dr. Ester Bernado-Mansilla, La Salle - Ramon Llull University, Barcelona,
Spain ([email protected])

 

GECCO is sponsored by the Association for Computing Machinery Special
Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG

Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA,

1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).

 


--- End Message ---

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