LCS & GBML on Twitter- RT @msgbi: RT @newsycombinator: Machine Learning with F# http://t.co/nwQu6N7uaC May 24, 2013
- RT @newsycombinator: Machine Learning with F# http://t.co/nwQu6N7uaC May 24, 2013
- Machine Learning with F# → http://t.co/ffNpMNODyg (http://t.co/a9LvN5Be1J) May 24, 2013
- Google brings your Google+ photos right into Search, serves results via computer vision and machine learning: ... http://t.co/17fVrkDslS May 24, 2013
- Google brings your Google+ photos right into Search, serves results via computer vision and machine learning: ... http://t.co/g0NvMxWPlc May 24, 2013
- RT @mattmcd: Machine Learning with F# http://t.co/Qj8JtRWRni #fsharp #ocaml #functional May 24, 2013
Category Archives: Research
IWLCS 2011: 14th International Workshop on Learning Classifier Systems
14TH INTERNATIONAL WORKSHOP ON LEARNING CLASSIFIER SYSTEMS
to be held as part of the
2011 Genetic and Evolutionary Computation Conference (GECCO-2011)
July 12-16, Dublin, Ireland
Organized by ACM SIGEVO
20th International Conference on Genetic Algorithms (ICGA) and the 16th
Annual Genetic Programming Conference (GP)
One Conference – Many Mini-Conferences 15 Program Tracks
PAPER SUBMISSION DEADLINE FOR WORKSHOP: April 7th, 2011
http://home.dei.polimi.it/loiacono/iwlcs2011
The Fourteenth International [...] Continue reading
Posted in Conferences, Research
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DCoL: New release v1.1
A new version of the data complexity library (DCoL) in C++ is available at http://dcol.sourceforge.net/.
DCoL provides the implementation of a set of measures designed to characterize the apparent complexity of data sets for supervised learning, which were originally proposed by Ho and Basu (2002). More specifically, the implemented measures focus on the complexity of the [...] Continue reading
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Universitat d’Estiu d’Andorra
After a first-rate opening in May with the talk given by Prof. Cirac, the 27th edition of the Universitat d’Estiu d’Andorra officially starts today, Aug, 30 with a promising agenda:
6:00 pm: Equilibri climàtic del planeta Terra (Climate balance on planet Earth), presented by Josefina Castellví Piulachs, oceanographer specialized in marine bacteriology (Barcelona).
7:30 pm: La [...] Continue reading
Meandre 2.0 Alpha Preview = Scala + MongoDB
A lot of water under the bridge has gone by since the first release of Meandre 1.4.X series. In January I went back to the drawing board and start sketching what was going to be 1.5.X series. The slide deck embedded above is a extended list of the thoughts during the process. As usual, I [...]
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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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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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ICPR 2010 – Contest: Extended Deadline May, 26
Call for Contest Participation – Classifier domains of competence: The landscape contest (ICPR 2010)
Classifier domains of competence: The landscape contest is a research competition aimed at finding out the relation between data complexity and the performance of learners. Comparing your techniques to those of other participants on targeted-complexity [...] Continue reading
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Last call for participation to the Lanscape Contest
The landscape contest is a research competition aimed at finding out the relation between data complexity and the performance of learners. Comparing your techniques to those of other participants may contribute to enrich our understanding of the behavior of machine learning techniques and open further research lines.
The contest will take place [...] Continue reading
Posted in Research
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