The LCS and GBML community stop
This week two more NIGEL 2006 talks. Enjoy this third release, Butz vs. Barry.
Video
[vimeo clip_id=4593358 width=”432″ height=”320″]
Slides
[slideshare id=1384628&doc=nigel-2006-butz-090504153553-phpapp02]
Video
[vimeo clip_id=4727803 width=”432″ height=”320″]
Slides
[slideshare id=1384652&doc=nigel-2006-barry-090504154054-phpapp01]
It is very common that NCSA machine get continual attacks over the net. Today I got a note from the security team that LCS & GBML Central may have been compromised. We are looking into it. As a precaution the automatic measures has been fired, that means, that the box is currently unroutable. Hope it […]
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It is very common that NCSA machine get continual attacks over the net. Today I got a note from the security team that LCS & GBML Central may have been compromised. We are looking into it. As a precaution the automatic measures has been fired, that means, that the box is currently unroutable. Hope it can be fixed soon. I’ll keep you posted about the progress.
Related posts:
The second weekly release of NIGEL 2006 talks is available at LCS & GBML Central. This week Dipankar Dasgupta reviews the negative selection algorithm, where as Lashon Booker travels in time to the past and future of learning classifier systems.
Related posts:NIGEL 2006 Part IV: Llorà vs. CasillasNIGEL 2006 Part III: Butz vs. BarryNIGEL […]
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The second weekly release of NIGEL 2006 talks is available at LCS & GBML Central. This week Dipankar Dasgupta reviews the negative selection algorithm, where as Lashon Booker travels in time to the past and future of learning classifier systems.
Related posts:
This week two more NIGEL 2006 talks. Enjoy this second release, Dasgupta vs. Booker.
Video
[vimeo clip_id=4592273 width=”432″ height=”320″]
Slides
[slideshare id=1384601&doc=nigel-2006-dasgupta-090504153353-phpapp01]
Video
[vimeo clip_id=4592087 width=”432″ height=”320″]
Slides
[slideshare id=1384637&doc=nigel-2006-booker-090504153739-phpapp02]
I finally finished transcoding the videos from NIGEL 2006 and started uploading them to Vimeo. Every week I will upload two of them following NIGEL 2006 agenda. I will also embed the slides that are already available on SlideShare, if available for the talk. Enjoy this first release, Wilson vs. Goldberg. I have also included the meeting introduction just for nostalgia purposes.
Video
[vimeo clip_id=4479633 width=”432″ height=”320″]
Slides
[slideshare id=1384574&doc=nigel-2006-llora-welcome-090504152827-phpapp02]
Video
[vimeo clip_id=4478921 width=”432″ height=”320″]
Slides
Unfortunately, Stewart’s slides are not available.
Video
[vimeo clip_id=4477260 width=”432″ height=”320″]
Slides
[slideshare id=1384594&doc=nigel-2006-goldberg-090504153108-phpapp02]
Last week Pier Luca Lanzi was visiting IlliGAL. Yesterday, before he left for Chicago, we went for one last brunch. He mentioned that he liked a lot the videos we shot during NIGEL 2006. Thinking about it we agreed would be useful to recover the videos and upload them into some of the usual video […]
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Last week Pier Luca Lanzi was visiting IlliGAL. Yesterday, before he left for Chicago, we went for one last brunch. He mentioned that he liked a lot the videos we shot during NIGEL 2006. Thinking about it we agreed would be useful to recover the videos and upload them into some of the usual video sharing site suspects. Currently they are hosted, for long term storage purposes, at NCSA’s web archive. I spent sometime retrieving them from the archive (they are pretty fat and encoded in wmv) and I stated transcoding it in m4a. My plan? Make them available via Vimeo and LCS & GBML Central. Also, I will be uploading the presentation slides to SlideShare and also make them available via LCS & GBML Central.
Update: The first two videos (Wilson and Goldberg) are already available at LCS & GBML Central.
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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 […]
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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.
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On May 16th and 17th, a group formed by more than twenty researchers got together in Urbana-Champaign (Illlinois) to participate in the gathering on evolutionary learning organized by the National Center for Supercomputer Applications and the Illinois Genetic Algorithms Laboratory (NIGEL 2006). The goals were to discus current state-of-the-art research in learning classifier systems and other genetics-based machine learning, and to identify future research trends and applications where evolutionary learning might provide a competitive advantage. The first day attendees gave presentations about challenges and current research topics (see the materials below). The second day, a series of three topic-oriented brainstorming sessions were conducted covering: (1) future of LCS and other GBML, (2) areas of application, and (3) techniques.
The list of participants included Loretta Auvil, Jaume Bacardit, Alwyn Barry, Lashon Booker, Ester Bernado, Will Browne, Martin Butz, Jorge Casillas, Helen Dam, Dipankar Dasgupta, Deon Garrett, David Goldberg, Noriko Imafuji, Pier Luca Lanzi, Xavier Llora, Kumara Sastry, Kamran Shafi, Kenneth Turvey, Michael Welge, Ashley Williams, Stewart Wilson, and Paul Winward.
Some pictures of the event can be found here or at the NIGEL web site.
| Xavier Llorà: “Welcome and presentation”[Slides][Video] |
| Stewart W. Wilson: “Can We Do Captchas?” [Slides][Video] |
| David E. Goldberg: “Searle, Intentionality, and the Future of Classifier Systems” [Slides][Video] |
| Dipankar Dasgupta: “Artificial Immune Systems in Anomaly Detection” [Slides][Video] |
| Lashon Booker: “A Retrospective Look at Classifier System Research” [Slides][Video] |
| Martin Butz: “XCS: Current Capabilities and Future Challenges” [Slides][Video] |
| Alwyn Barry: “Towards a Formal Framework for Accuracy-based LCS” [Slides][Video] |
| Xavier Llorà: “Linkage Learning for Pittsburgh Learning Classifier Systems: Making Problems Tractable” [Slides][Video] |
| Jorge Casillas: “Scalability in GBML, Accuracy-Based Michigan Fuzzy LCS, and New Trends” [Slides][Video] |
| Ester Bernadó: “Learning Classifier Systems for Unbalanced Datasets” [Slides][Video] |
| Pier-Luca Lanzi: “Computed Prediction: so far, so good. Now what?” [Slides][Video] |
| Jaume Bacardit: “Pittsburgh Learning Classifier Systems for Protein Structure Prediction: Scalability and Explanatory Power” [Slides][Video] |
On May 16th and 17th, a group formed by more than twenty researchers got together in Urbana-Champaign (Illlinois) to participate in the gathering on evolutionary learning organized by the National Center for Supercomputer Applications and the Illinois Genetic Algorithms Laboratory (NIGEL 2006). The goals were to discus current state-of-the-art research in learning classifier systems and other genetics-based machine learning, and to identify future research trends and applications where evolutionary learning might provide a competitive advantage. The first day attendees gave presentations about challenges and current research topics (see the materials below). The second day, a series of three topic-oriented brainstorming sessions were conducted covering: (1) future of LCS and other GBML, (2) areas of application, and (3) techniques.
The list of participants included Loretta Auvil, Jaume Bacardit, Alwyn Barry, Lashon Booker, Ester Bernado, Will Browne, Martin Butz, Jorge Casillas, Helen Dam, Dipankar Dasgupta, Deon Garrett, David Goldberg, Noriko Imafuji, Pier Luca Lanzi, Xavier Llora, Kumara Sastry, Kamran Shafi, Kenneth Turvey, Michael Welge, Ashley Williams, Stewart Wilson, and Paul Winward.
Some pictures of the event can be found here or at the NIGEL web site.
| Xavier Llorà: “Welcome and presentation”[Slides] |
| Stewart W. Wilson: “Can We Do Captchas?” [Slides] |
| David E. Goldberg: “Searle, Intentionality, and the Future of Classifier Systems” [Slides] |
| Dipankar Dasgupta: “Artificial Immune Systems in Anomaly Detection” [Slides] |
| Lashon Booker: “A Retrospective Look at Classifier System Research” [Slides] |
| Martin Butz: “XCS: Current Capabilities and Future Challenges” [Slides] |
| Alwyn Barry: “Towards a Formal Framework for Accuracy-based LCS” [Slides] |
| Xavier Llorà: “Linkage Learning for Pittsburgh Learning Classifier Systems: Making Problems Tractable” [Slides] |
| Jorge Casillas: “Scalability in GBML, Accuracy-Based Michigan Fuzzy LCS, and New Trends” [Slides] |
| Ester Bernadó: “Learning Classifier Systems for Unbalanced Datasets” [Slides] |
| Pier-Luca Lanzi: “Computed Prediction: so far, so good. Now what?” [Slides] |
| Jaume Bacardit: “Pittsburgh Learning Classifier Systems for Protein Structure Prediction: Scalability and Explanatory Power” [Slides] |
