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After coming back from GECCO I just uploaded the last of the NIGEL 2006 talks at LCS & GBML Central. This last talk was by Jaume Bacardit and GBML for protein structure prediction.
Related posts:NIGEL 2006 Part V: Bernardó vs. LanziNIGEL 2006 Part IV: Llorà vs. CasillasNIGEL 2006 Part III: Butz vs. Barry
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After the vacation break, two more NIGEL 2006 talks are available at LCS & GBML Central. This week Ester Bernardó presents how LCS can perform in the presence of class imbalance, whereas Lanzi continues his quest on computed predictions.
Related posts:NIGEL 2006 Part IV: Llorà vs. CasillasTranscoding NIGEL 2006 videosNIGEL 2006 Part III: Butz [...]
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Two more NIGEL 2006 talks are available at LCS & GBML Central. This week Xavier Llorà presents how linkage learning can be achieve in Pittsburgh LCS, whereas Jorge Casillas reviews his work using XCS and Fuzzy LCS.
Related posts:NIGEL 2006 Part III: Butz vs. BarryNIGEL 2006 Part II: Dasgupta vs. BookerNIGEL 2006 Part V: [...]
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NIGEL 2006 talks is available at LCS & GBML Central. This week Martin Butz review reviews the state of the union of XCS, where as Alwyn Barry introduces the theoretical framework for LCS that he and Jan Drugowitsch worked on.
Related posts:NIGEL 2006 Part IV: Llorà vs. CasillasNIGEL 2006 Part II: Dasgupta vs. BookerNIGEL [...]
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Genetic Programming and Evolvable Machines
Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines
(Revised May 19, 2009; please note revised title and deadlines. 2nd revision July 15, 2009. 3rd revision September 25, 2009; please note revised schedule)
Genetic Programming and Evolvable Machines is ten years old in 2010. To mark this, a prestigious special issue of the journal will be published. A number of articles by leading figures have already been commissioned:
- “Theoretical Results in Genetic Programming: The next ten years?” by Riccardo Poli, William B. Langdon, Nic McPhee and Leonardo Vanneschi
- “Human Competitive Results Using Genetic Programming” by John Koza
- “Genetic Programming and Evolvable Machines: Ten Years of Reviews” by William B. Langdon and Steven Gustafson
Open submissions
We encourage the submission of high quality papers that review or analyze progress in the field, present the state-of-the-art in the evolution of software and hardware, describe promising new approaches or application areas, or foundational topics in genetic programming and evolvable machines.
Subjects include, but are not limited to:
- Theoretical understanding of Genetic Programming
- Important Application Areas of Genetic Programming and Evolvable Machines
- New approaches and paradigms
- Fundamental Issues
- Wide ranging reviews and/or analysis of Research in Genetic and Evolvable Machines
Important Dates
- Paper submission deadline: November 23, 2009
- Notification of acceptance: January 15, 2009
- Final manuscript: February 15, 2010
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.All open submissions will be peer reviewed subject to the standards of the journal. Manuscripts based on previously published conference papers must be extended substantially.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript.
Manuscripts should be submitted to: http://GENP.edmgr.com. This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.
All enquiries on this special issue by prospective authors should be sent to the guest editors at the addresses below.
Guest editors
Julian Miller
Department of Electronics
University of York,
Heslington, York,
YO10 5DD, UK
jfm7@ohm.york.ac.uk
Riccardo Poli
School of Computer Science and Electronic Engineering,
University of Essex,
Wivenhoe Park, Colchester,
CO4 3SQ, UK
rpoli@essex.ac.uk
Editor-in-Chief: Lee Spector, Hampshire College
Founding Editor: Wolfgang Banzhaf, Memorial University of Newfoundland
Journal Website: www.springer.com/10710
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LCS & GBML Central exploit has been fixed. The site is restored and back to fully functional. Please do not hesitate to ping me if you see something missing.
Related posts:LCSweb + GBML blog = LCS & GBML CentralLCS & GBML Central under inspectionNew books section on the LCS and GBML web
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The second weekly release of NIGEL 2006 talks is available at LCS & GBML Central. This week Dipankar Dasgupta reviews the negative selection algorithm, where as Lashon Booker travels in time to the past and future of learning classifier systems.
Related posts:NIGEL 2006 Part IV: Llorà vs. CasillasNIGEL 2006 Part III: Butz vs. BarryNIGEL [...]
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Last week Pier Luca Lanzi was visiting IlliGAL. Yesterday, before he left for Chicago, we went for one last brunch. He mentioned that he liked a lot the videos we shot during NIGEL 2006. Thinking about it we agreed would be useful to recover the videos and upload them into some of the usual video [...]
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The deadline for submitting papers to the Genetic Programming and Evolvable Machines Special Issue on Parallel and Distributed Evolutionary Algorithms has been extended.
The new deadline is: May 15, 2009
More information about the special issue is available here.
Events, Headline, IWLCS »
[ July 9, 2009; ] The Twelfth International Workshop on Learning Classifier Systems (IWLCS 2009) will be held in Montreal, Canada, Thursday, July 9, 2008 during the Genetic and Evolutionary Computation Conference (GECCO-2009), July 8-12, 2009.
Originally, Learning Classifier Systems (LCSs) were introduced by John H. Holland as a way of applying evolutionary computation to machine learning and adaptive behavior problems. [...]
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The deadline for the special issue on Metaheuristics for Large Scale Data Mining to be published by Springer’s Memetic Computing Journal has been extended till May 31, 2009. More information can be found in this post at LCS & GBML Central.
Related posts:[BDCSG2008] Algorithmic Perspectives on Large-Scale Social Network Data (Jon Kleinberg)Special issue on chance discovery [...]
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