Category: Community Feeds

LCSweb + GBML blog = LCS & GBML Central


LCSweb was designed to allow researchers and those seeking to use Learning Classifier Systems within applications access to material on LCS and discussion between members of the LCS community. The site served this community since its was started by Alwyn Barry in 1997. Enhanced and maintained later by Jan Drugowitsch, LCSweb became a valuable community […]

Related posts:

  1. New blog for LCS and other GBML
  2. LCS and other GBML warming up for GECCO 2006
  3. LCSWeb creates a LCS and GBML paper database

LCSweb was designed to allow researchers and those seeking to use Learning Classifier Systems within applications access to material on LCS and discussion between members of the LCS community. The site served this community since its was started by Alwyn Barry in 1997. Enhanced and maintained later by Jan Drugowitsch, LCSweb became a valuable community resource. The site was completely community-driven and allowed members to contribute to the content of the site and keeping it up to date. Later on in 2005, I started “LCS and other GBML” Blog to cover a gap providing information information regarding the International Workshop on Learning Classifier Systems (IWLCS), the collection of LCS Books available, and GBML related news.

Some of you may have realized that after Jan’s move to Rochester and Alwyn’s retirement from research activities, LCSweb has vanished. Will Browne took on himself to take LCSweb to Reading, but technical circumstances have made that move rocky despite his best efforts. Jan and Will however still have a local copy of LCSweb contents. After talking to Jan and Will, I proposed to merge LCSweb with the LCS and other GBML blog, and host the new site at NCSA where dedicated resources has been made available. Jan and Will agreed with the idea.

We are happy to announce that the merged site (still under the update cycle) can be reached at http://lcs-gbml.ncsa.uiuc.edu. More information about the process can be found here or at there LCS & GBML Central site.

Related posts:

  1. New blog for LCS and other GBML
  2. LCS and other GBML warming up for GECCO 2006
  3. LCSWeb creates a LCS and GBML paper database

MID-CBR meeting

On March 19th and 20th 2009 took place the annual meeting of the MID-CBR (Marco Integrador para el Desarrollo de Sistemas de Razonamiento Basado en Casos, TIN2006-15140-C03) a coordinated project by the Instituto de Investigación de Inteligencia Artificial (IIIA-CSIC; Main Researcher: Dr. Enric Plaza), the Universidad Complutense de Madrid (GAIA-UCM; Main Researcher: Dra. Belén […]

On March 19th and 20th 2009 took place the annual meeting of the MID-CBR (Marco Integrador para el Desarrollo de Sistemas de Razonamiento Basado en Casos, TIN2006-15140-C03) a coordinated project by the Instituto de Investigación de Inteligencia Artificial (IIIA-CSIC; Main Researcher: Dr. Enric Plaza), the Universidad Complutense de Madrid (GAIA-UCM; Main Researcher: Dra. Belén […]

Hans-Paul Schwefel to give a talk at GECCO-2009

I just found out that Hans-Paul Schwefel, one of the evolutionary computation pioneers, is going to give a talk at the Genetic and Evolutionary Computation Conference (GECCO-2009) in Montreal, Canada (July 8-12, 2009). The talk will be part of the Learning from Failures in Evolutionary Computation (LFFEC) Workshop.
The title of the talk is failures […]

Hans-Paul Schwefel

I just found out that Hans-Paul Schwefel, one of the evolutionary computation pioneers, is going to give a talk at the Genetic and Evolutionary Computation Conference (GECCO-2009) in Montreal, Canada (July 8-12, 2009). The talk will be part of the Learning from Failures in Evolutionary Computation (LFFEC) Workshop.

The title of the talk is failures as stepping stones to success or per aspera ad astra. The abstract follows:

The implicit thesis of this talk’s title will be underpinned with some examples from (my) real life. A first example leads back to the 1960s, when I simulated the (1+1)-ES with discrete mutations on a two-dimensional parabolic ridge by means of a Z23 computer. The result – getting stuck in certain search directions – led to making use of Gaussian variations. The second example comes from experimental investigations to determine the shape of a hot water flashing nozzle, the water being really hot and not simulated on a computer. In search for a multimembered evolutionary algorithm with effective self-adaptation of the mutation strengths, a couple of failures occurred. These, however, rendered deep insight into basic prerequisites to achieve the goal. And finally, some theory will be re-presented about the optimal failure rate in two black-box situations.

Of course, GECCO-2009 will feature many other interesting presentations, workshops, and other events and for more information about this conference, you should visit its web page here. GECCO is organized by ACM SIGEVO (Special Interest Group on Genetic and Evolutionary Computation).

Presentation Zen


Lately I have been thinking about how to effectively communicate ideas over presentations. This has turned to be a key element when trying to convey the benefits of jumping on the Meandre wagon. Presentation Zen is a very interesting resource for methods, techniques, and example on how to convey and communicate ideas. I am working […]

Lately I have been thinking about how to effectively communicate ideas over presentations. This has turned to be a key element when trying to convey the benefits of jumping on the Meandre wagon. Presentation Zen is a very interesting resource for methods, techniques, and example on how to convey and communicate ideas. I am working on revamping some of my Meandre presentations trying to be able to get the points across easily.

Prof. Chua interviewed by “El País”

Prof. León Chua visited Barcelona to preside over the examining committee of one of our former members and current collaborators, Giovanni Pazienza. On this visit, he had time to share his main discovery with us in the talk: “Memristor: 37 years later”.
Through an unusual presentation, overhead transparencies, amusing jokes, technological explanations hidden in […]

Prof. León Chua visited Barcelona to preside over the examining committee of one of our former members and current collaborators, Giovanni Pazienza. On this visit, he had time to share his main discovery with us in the talk: “Memristor: 37 years later”.
Through an unusual presentation, overhead transparencies, amusing jokes, technological explanations hidden in […]

Lecture 02: Machine Learning for Data Mining

This lecture provides a brief overview of the area of Machine Learning and discusses its relation to Data Mining. Course 80916 on Data Mining and Text Mining, Master of Science in Engineering Computing Systems, Facoltà di Ingegneria dell’Informazione, Politecnico di Milano.

This lecture provides a brief overview of the area of Machine Learning and discusses its relation to Data Mining. Course 80916 on Data Mining and Text Mining, Master of Science in Engineering Computing Systems, Facoltà di Ingegneria dell’Informazione, Politecnico di Milano.

Lecture 01: Data Mining

This lecture provides an overview of the areas of Knowledge Discovery in Databases (KDD) and Data Mining. Course 80916 on Data Mining and Text Mining, Master of Science in Engineering Computing Systems, Facoltà di Ingegneria dell’Informazione, Politecnico di Milano.

This lecture provides an overview of the areas of Knowledge Discovery in Databases (KDD) and Data Mining. Course 80916 on Data Mining and Text Mining, Master of Science in Engineering Computing Systems, Facoltà di Ingegneria dell’Informazione, Politecnico di Milano.

Lecture 00: Course Introduction

Short introduction to the course 80916 on Data Mining and Text Mining, Master of Science in Engineering Computing Systems, Facoltà di Ingegneria dell’Informazione, Politecnico di Milano.

Short introduction to the course 80916 on Data Mining and Text Mining, Master of Science in Engineering Computing Systems, Facoltà di Ingegneria dell’Informazione, Politecnico di Milano.