Category: GECCO

Deadline approaching: IWLCS @ GECCO (March 28)

Just a quick reminder that the deadline for the IWLCS will be here in two weeks (March 28).  IWLCS is a great place to present your quality projects and ongoing work related to LCS research.  This year it is particularly important for you to make a contribution to this workshop which serves as a valuable and central exchange of knowledge and ideas for those interested in the study of these unique algorithms, as well as for those interested in learning more about them.

Last year the IWLCS only got two paper submissions, a record low for the meeting.  It is our hope that we will see many more submissions this year in order to demonstrate interest in this workshop.

Submission instructions are on the IWLCS 2013 website under the CFP tab.

http://homepages.ecs.vuw.ac.nz/~iqbal/iwlcs2013/index.html
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**                            CALL FOR PAPERS                      **
** Sixteenth International Workshop on Learning Classifier Systems **
**                 July 06-10, 2013, Amsterdam, The Netherlands    **
**                       Organized by ACM SIGEVO                   **
*********************************************************************

The Sixteenth International Workshop on Learning Classifier Systems (IWLCS
2013) will be held in Amsterdam, The Netherlands during the Genetic and
Evolutionary Computation Conference (GECCO-2013), July 06-10, 2013.

Originally, Learning Classifier Systems (LCSs) were introduced by John H.
Holland as a way of applying evolutionary computation to machine learning
and adaptive behaviour problems. Since then, the LCS paradigm has
broadened greatly into a framework that encompasses many representations,
rule discovery mechanisms, and credit assignment schemes.

Current LCS applications range from data mining, to automated innovation
and the on-line control of cognitive systems. LCS research includes
various actual system approaches: While Wilson’s accuracy-based XCS system
(1995) has received the highest attention and gained the highest
reputation; studies and developments of other LCSs are usually discussed
and contrasted. Advances in machine learning, and reinforcement learning
in particular, as well as in evolutionary computation have brought LCS
systems the necessary competence and guaranteed learning properties. Novel
insights in machine learning and evolutionary computation are being
integrated into the LCS framework.

Thus, we invite submissions that discuss recent developments in all areas
of research on, and applications of, Learning Classifier Systems. IWLCS is
the event that brings together most of the core researchers in classifier
systems. The workshop also provides an opportunity for researchers
interested in LCSs to get an impression of the current research directions
in the field as well as a guideline for the application of LCSs to their
problem domain.

Topics of interests include but are not limited to:

Paradigms of LCS (Michigan, Pittsburgh …)
Theoretical developments (behaviour, scalability and learning bounds …)
Representations (binary, real-valued, oblique, non-linear, fuzzy …)
Types of target problems (single-step, multiple-step, regression/function
approximation …)
System enhancements (competent operators, problem structure identification
and linkage learning …)
LCS for Cognitive Control (architectures, emergent behaviours …)
Applications (data mining, medical domains, bioinformatics …)
Optimizations and parallel implementations (GPU, matching algorithms …)

All accepted papers will be presented at IWLCS 2013 and will appear in the
GECCO workshop volume, which will be published by ACM (Association for
Computing Machinery). Authors will be invited after the workshop to submit
revised (full) papers that, after a thorough review process, are to be
published in a special issue of the Evolutionary Intelligence journal.

Important dates

March 28, 2013   – Paper submission deadline
April 15, 2013   – Notification to authors
April 25, 2013   – Submission of camera-ready material
July 06-10, 2013 – GECCO 2013 Conference in Amsterdam, The Netherlands

Organizing Committee

Muhammad Iqbal, muhammad.iqbal@ecs.vuw.ac.nz
Kamran Shafi, k.shafi@adfa.edu.au
Ryan Urbanowicz, ryan.j.urbanowicz@dartmouth.edu

 

Regards

Ryan Urbanowicz

 

2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2013)

*** CALL FOR PAPERS ***
2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2013) *** Genetics-Based Machine Learning track ***
*** July 06-10, 2013, Amsterdam, The Netherlands ***
*** Organized by ACM SIGEVO ***
***http://www.sigevo.org/gecco-2013 ***

The Genetics-Based Machine Learning (GBML) track at GECCO 2013 covers all advances in theory and application of evolutionary computation methods to Machine Learning (ML) problems.

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 literature shows that evolutionary methods can tackle many different tasks within the ML context:

– addressing subproblems of ML e.g. feature selection and construction
– optimising parameters of other ML methods
– as learning methods for classification, regression or control tasks
– as meta-learners which adapt base learners
* evolving the structure and weights of neural networks
* evolving the data base and rule base in genetic fuzzy systems
* evolving ensembles of base learners

The global search performed by evolutionary methods can complement the local search of non-evolutionary methods and combinations of the two are particularly welcome.

Some of the main GBML subfields are:

* Learning Classifier Systems (LCS) are rule-based systems introduced
by John Holland in the 1970s. LCSs are one of the most active and
best-developed forms of GBML and we welcome all work on them.
* Genetic Programming (GP) when applied to machine learning tasks (as
opposed to function optimisation).
* Evolutionary ensembles, in which evolution generates a set of
learners which jointly solve problems.
* Artificial Immune Systems (AIS).
* Evolving neural networks or Neuroevolution.
* Genetic Fuzzy Systems (GFS) which combine evolution and fuzzy logic.

In addition we encourage submissions including but not limited to the
following:

1. Theoretical advances

* Theoretical analysis of mechanisms and systems
* Identification and modeling of learning and scalability bounds
* Connections and combinations with machine learning theory
* Analysis and robustness in stochastic, noisy, or non-stationary
environments
* Complexity analysis in MDP and POMDP problems
* Efficient algorithms

2. Modification of algorithms and new algorithms

* Evolutionary rule learning, including but not limited to:
o Michigan style (SCS, NewBoole, EpiCS, ZCS, XCS, UCS…)
o Pittsburgh style (GABIL, GIL, COGIN, REGAL, GA-Miner, GALE,
MOLCS, GAssist…)
o Anticipatory LCS (ACS, ACS2, XACS, YACS, MACS…)
o Iterative Rule Learning Approach (SIA, HIDER, NAX, BioHEL,…)
* Artificial Immune Systems
* Genetic fuzzy systems
* Learning using evolutionary Estimation of Distribution
Algorithms (EDAs)
* Evolution of Neural Networks
* Evolution of ensemble systems
* Other hybrids combining evolutionary techniques with other
machine learning techniques

3. Issues in GBML

* Competent operator design and implementation
* Encapsulation and niching techniques
* Hierarchical architectures
* Default hierarchies
* Knowledge representations, extraction and inference
* Data sampling
* (Sub-)Structure (building block) identification and linkage learning
* Integration of other machine learning techniques
* Mechanisms to improve scalability

4. Applications

* Data mining
* Bioinformatics and life sciences
* Rapid application development frameworks for GBML
* Robotics, engineering, hardware/software design, and control
* Cognitive systems and cognitive modeling
* Dynamic environments, time series and sequence learning
* Artificial Life
* Adaptive behavior
* Economic modelling
* Network security
* Other kinds of real-world applications

5. Related Activities

* Visualisation of all aspects of GBML (performance, final solutions, evolution of the population)
* Platforms for GBML, e.g. GPGPUs
* Competitive performance, e.g. GBML performance in Competitions and Awards
* Education and dissemination of GBML, e.g. software for teaching and exploring aspects of GBML.

All accepted papers will appear in the proceedings of GECCO 2013, which will be published by ACM (Association for Computing Machinery).

Important Dates:

January 23, 2013 – Paper submission deadline
April 17, 2013 – Camera-ready version of accepted articles
July 06-10, 2013 – GECCO 2013 Conference in Amsterdam, The Netherlands

Track Chairs:
– Jaume Bacardit,jaume.bacardit@nottingham.ac.uk
– Tim Kovacs,kovacs@cs.bris.ac.uk

GECCO 2012 Deadline Extended to January 27

Is that time of year. Rushing to get your papers ready for GECCO 2012? Here are some good news. The deadline has been pushed back to January 27 to help those last minute pushes . You can find more infomaion…

Is that time of year. Rushing to get your papers ready for GECCO 2012? Here are some good news. The deadline has been pushed back to January 27 to help those last minute pushes :) . You can find more infomaion at the conference website

http://www.sigevo.org/gecco-2012/

or you can follow GECCO 2012 updatse on Twitter (http://www.twitter.com/gecco_2012), Google+ (+GECCO http://goo.gl/F4ZTM), or Facebook (http://goo.gl/IqEbW).

Related posts:

  1. GECCO 2011 Submission Deadline: January 26, 2011
  2. GECCO 2009 paper submission deadline extended till January 28
  3. GECCO 2008 Deadline Extended to January 30th

GECCO 2011 Healthier Than Ever

I just got a note from Pier Luca Lanzi about some raw number on this year’s GECCO 2011 conference. The numbers are stagering. I will start with the numbers from the previous editions since GECCO become an ACM conference, just…

I just got a note from Pier Luca Lanzi about some raw number on this year’s GECCO 2011 conference. The numbers are stagering. I will start with the numbers from the previous editions since GECCO become an ACM conference, just to build up suspense. The numbers of paper submissions to the main conference for the previous editions are listed below.

Year Number of Submissions
2006 446
2007 577
2008 451
2009 531
2010 373

And after this prelude, here comes the number of submission for this year: 686. Yes you read it correctly 686 papers submitted to the conference. The number just brakes the record of submissions since GECCO joined ACM. 686 papers is 109 papers more than the previous 2007 record.

But, do you want to know what is even better than that? That you can still participate by submitting workshop and late breaking papers. Do you want to learn more about it, just check the conference calendar.

Related posts:

  1. GECCO 2011 Submission Deadline: January 26, 2011
  2. GECCO 2011: Call for Workshop Proposals
  3. GECCO 2011 Competitions