Contributors
- Evolutionary Computation, IEEE Transactions on – new TOC
- Albert Orriols Homepage
- Ester Bernadó Homepage
- Evolutionary Intelligence (Online First™)
- Genetic Programming and Evolvable Machines
- Genetic Programming and Evolvable Machines (Online First™)
- Illinois Genetic Algorithms Lab
- MEDAL Blogging
- MIT Press Journals: Evolutionary Computation: Table of Contents
- Natural Computing (Online First™)
- núria macià antolínez » Research
- Pier Luca Lanzi Homepage
- Soft Computing – A Fusion of Foundations, Methodologies and Applications (Online First™)
- Xavier Llorà
Research Groups
LCS & GBML on Twitter- New #Job: DataMining/Machine Learning Consultation http://t.co/WsYFimi2Qw May 20, 2013
- RT @qanderson7: Machine Learning over Storm | Big Data Cookbook http://t.co/TpvAThg6Ym - thanks for your hard work, great book so far! May 20, 2013
- RT @stormprocessor: Trident-ML: a realtime online machine learning library https://t.co/BSaQHF3qO8 May 20, 2013
- Going to "Machine Learning on Big Data" Meetup with IGTCloud on June 19th. http://t.co/GiWkhhWB8K Come say Hi May 20, 2013
- 'Kenreisman/machine-learning' News http://t.co/ILhYI99dTh - top stories by peteskomoroch May 20, 2013
- Generating University Course Timetable Using Genetic Algorithms and Local Search http://t.co/kXWY0sBefB #orj #TTL May 20, 2013
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Tag Archives: GBML & LCS
GECCO 2011: Genetics-Based Machine Learning Track Announcement and CFP
GBML call for papers for GECCO 2011 Continue reading
Posted in ACM SIGEVO, Call for papers, CFP, Events, Featured, GECCO, Headline, SIGEVO
Tagged AIS, GBML & LCS, GECCO 2011, LCS
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IWLCS 2010 – Discussion session on LCS / XCS(F)
I just got an email from Martin Butz about a discussion session being planned for IWLCS 2010 and his request to pass it along. Hope all is well and you are going to attend GECCO this year. Regardless if you attend or not: Jaume asked me to lead a discussion session on “LCS representations, operators, [...]
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Posted in Learning classifier systems, Research
Tagged GBML, GBML & LCS, genetics-based machine learning, LCS, XCS
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LCS and Software Development
“On the Road to Competence” is a slide deck by Jurgen Appelo with interesting analogies between learning classifier systems and software development. Definitely worth taking a look at it. Related posts:NIGEL 2006 Part II: Dasgupta vs. Booker Large Scale Data Mining using Genetics-Based Machine Learning Software for fast rule matching using vector instructions
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Posted in Learning classifier systems, Presentations
Tagged complex systems, GBML, GBML & LCS, genetics-based machine learning, LCS, software development
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GAssist and GALE Now Available in Python
Ryan Urbanowicz has released Python versions of GAssits and GALE!!! Yup, so excited to see a new incarnation of GALE doing the rounds. I cannot wait to get my hands on it. Ryan has also done an excellent job porting UCS, XCS, and MCS to Python and making those implementations available via “LCS & GBML central” for [...]
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LCS & GBML Central Gets a New Home
Today I finished migrating the LCS & GBML Central site from its original URL (http://lcs-gbml.ncsa.uiuc.edu) to a more permanent and stable home located at http://gbml.org. The original site is already currently redirecting the trafic to the new site, and it will be doing so for a while to help people transition and update bookmarks and [...]
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An LCS Review for Beginners and Non-Computer Scientists.
I am pleased to share with you that the Journal of Artificial Evolution and Applications has recently published my LCS Review paper entitled, “Learning Classifier Systems: A Complete Introduction, Review, and Roadmap”. I wrote this from the perspective of a … Continue reading
Posted in Articles, Uncategorized, Virtual library
Tagged GBML & LCS, gecco-2009, Learning classifier systems, Publications, review, Teaching
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Large Scale Data Mining using Genetics-Based Machine Learning
Below you may find the slides of the GECCO 2009 tutorial that Jaume Bacardit and I put together. Hope you enjoy it.
Slides
Abstract
We are living in the peta-byte era.We have larger and larger data to analyze, process and transform into useful answers for the domain experts. Robust data mining tools, able to cope with petascale volumes [...]
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Posted in Community Feeds
Tagged Data-intensive computing, data-intensive flows, GBML & LCS, genetics-based machine learning, hadoop, LCS, Learning classifier systems, map-reduce, Presentations, Research
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NIGEL 2006 Part VI: Bacardit
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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Posted in Community Feeds, Events
Tagged GBML, GBML & LCS, genetics-based machine learning, LCS, Learning classifier systems, NIGEL 2006, Presentations
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NIGEL 2006 revisited (Part VI): Bacardit
This is the last of the NIGEL talks NIGEL 2006 talks. Enjoy this last one Jaume Bacardit Video [vimeo clip_id=5065758 width="432" height="320"] Slides [slideshare id=1384657&doc=nigel-2006-bacardit-090504154202-phpapp02]
Posted in Featured
Tagged GBML, GBML & LCS, genetics-based machine learning, LCS, Learning classifier systems, NIGEL 2006, Presentations, Research
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NIGEL 2006 Part V: Bernardó vs. Lanzi
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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Posted in Community Feeds, Events
Tagged GBML, GBML & LCS, genetics-based machine learning, LCS, Learning classifier systems, NIGEL 2006, Presentations
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