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Author Archives: aorriols
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
The Fourteenth International […] Continue reading
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 … Continue reading
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
Find below lecture 1 of the course artificial intelligence.
[Slides – pdf]
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
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
Find below the presentation of the paper Beyond Homemade Artificial Data Sets by Núria Macià, Albert Orriols-Puig, and Ester Bernadó-Mansilla in the 2009 Hybrid Artificial Intelligence Systems (HAIS’09).
This work aims at creating boundedly difficult problems for data classification whose complexity moves through different dimensions. For this purpose, this work proposes the use of a multi-objective […] Continue reading
Tomorrow, the international Hybrid Artificial Intelligence Systems conference (HAIS) gets started in Salamanca with the special session of Knowledge Extraction based on Evolutionary Learning (KEEL). In this special session, the following 14 papers that use evolutionary algorithms for different purposes in the field of machine learning will be presented:
A hybrid bumble bees mating optimization […] Continue reading
by Sergio Morales-Ortigosa, Albert Orriols-Puig, and Ester Bernadó-Mansilla. Special issue of Data Mining and Hybrid Intelligent Systems in the International Journal of Hybrid and Intelligent Systems, [Publisher site] [Preprint – pdf]
XCS is a learning classifier system that uses genetic algorithms to evolve a population of classifiers online. When applied to classification problems described by continuous […] Continue reading
A few days ago, Prof. Cirac was interviewed in a Catalan TV channel about his work on quantum theory of information. Prof. Cirac explained the method based on quantum cryptography that he and his team have been developing during the last few years, which makes sure that the information can be neither intercepted nor decrypted. […] Continue reading