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Research

This category contains 10 posts

The experimental community corrupts the researcher

Experimentation is a valuable tool in computer science. Random experimentation is, however, a danger. This post examines current research practices and casts doubt on their benefits. Inspired by the French writer Rousseau (1972)—society corrupts the individual—, my conviction is that the experimental community corrupts the researcher. The scientific method has evolved throughout the centuries, and [...]

Data complexity in supervised learning

My thesis, Data complexity in supervised learning: A far reaching implication, is finally available online. This thesis takes a close view of data complexity and its role shaping the behaviour of machine learning techniques in supervised learning and explores the generation of synthetic data sets through complexity estimates. The work has been built upon four [...]

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 [...]

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: [...]

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 problems may contribute to enrich our [...]

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 [...]

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 [...]

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 [...]

The mysterious world of the quantum physics

Three weeks ago I read the post Prof. Cirac interviewed about quantum physics and theory information, where you can find the link to the video of the Cirac’s interview by a Catalan TV. It is amazing how Prof. Cirac introduces some basics of the quantum physics by using easy words and a couple of dices. [...]

HAIS 2009

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009). Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary [...]