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Category Archives: Research
Scaling eCGA Model Building via Data-Intensive Computing
I just uploaded the technical report of the paper we put together for CEC 2010 on how we can scale up eCGA using a MapReduce approach. The paper, besides exploring the Hadoop implementation, it also presents some very compelling results obtained with MongoDB (a document based store able to perform parallel MapReduce tasks via sharding). [...]
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Posted in Data-Intensive Computing, eCGA, Estimation of distribution algorithms, hadoop, map-reduce, mongodb, pro, Research, Software
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ICPR 2010 – Contest
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 may contribute to enrich our understanding of the behavior of machine learning and open further research lines. Contest participants are allowed to [...] Continue reading
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Soaring the Clouds with Meandre
You may find the slide deck and the abstract for the presentation we delivered today at the “Data-Intensive Research: how should we improve our ability to use data” workshop in Edinburgh. Abstract This talk will focus a highly scalable data intensive infrastructure being developed at the National Center for Supercomputing Application (NCSA) at the University [...]
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Posted in cloud computing, Data-Intensive Computing, hadoop, meandre, Notes, Research, ZigZag
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GECCO 2010 Submission Deadline (Extended)
If you are planning to submit a paper for the 2010 Genetic and Evolutionary Computation Conference, the deadline is January 13, 2010 (and now extended to January 27th). You can find more information at the GECCO 2010 calendar site. Related posts:GECCO 2009 paper submission deadline extended till January 28 GECCO 2007 deadline extended GECCO-2006 submissions [...]
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Posted in Estimation of distribution algorithms, GECCO, Human-Computer Interaction, Learning classifier systems, Research
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Scaling Genetic Algorithms using MapReduce
Below you may find the abstract to and the link to the technical report of the paper entitled “Scaling Genetic Algorithms using MapReduce” that will be presented at the Ninth International Conference on Intelligent Systems Design and Applications (ISDA) 2009 by Verma, A., Llorà, X., Campbell, R.H., Goldberg, D.E. next month. Abstract:Genetic algorithms(GAs) are increasingly [...]
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Posted in Conferences, Data-Intensive Computing, Estimation of distribution algorithms, Genetic algorithms, hadoop, map-reduce, Publications, Research, Technical Reports
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Facetwise analysis of XCS for problems with class imbalances
by Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, and Pier Luca Lanzi. IEEE Transactions on Evolutionary Computation, doi=10.1109/ TEVC.2009.2019829, [Publisher site].
Michigan-style learning classifier systems (LCSs) are online machine learning techniques that incrementally evolve distributed subsolutions which individually solve a portion of the problem space. As in many machine learning systems, extracting accurate models [...] Continue reading
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Liquid: RDF meandering in FluidDB
Meandre (NCSA pushed data-intensive computing infrastructure) relies on RDF to describe components, flows, locations and repositories. RDF has become the central piece that makes possible Meandre’s flexibility and reusability. However, one piece still remains largely sketchy and still has no clear optimal solution: How can we facilitate to anybody sharing, publishing and annotating flows, components, [...]
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Posted in cloud computing, Data-Intensive Computing, FluidDB, meandre, Notes, RDF, Research, Social Networks, Software, storage
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AI: Reality or fiction?
It seems that the artificial intelligence related in science fiction is not as far from reality as we used to think. The main character of the film AI, a little boy belonging to a robot series capable of emulating human behavior, is now a model to reach in current scientific projects, which aim at providing [...] Continue reading
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GECCO 2009: A binary pre-teenager
GECCO, one of the most relevant conferences on evolutionary computation, starts its 10th edition today in Montréal (Canada). The organization committee has prepared a lot of surprises within a tight agenda. From July 8 to July 12, full days of tutorials, workshops, poster sessions, talks, competitions, awards, the birthday, and the star talk by John [...] Continue reading
Posted in Conferences, Research
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Save analysis of your results
Over the last few years, the increasing interest in machine learning has resulted in the design and development of several competitive learners. Usually, the performance of these methods is evaluated by comparing the new techniques to state-of-the-art methods over a collection of real-world problems.
In early days, these comparisons followed no standard, and qualitative arguments [...] Continue reading
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