CALL FOR PAPERS
The special session on Knowledge Extraction based on Evolutionary Learning in the 4th Hybrid Artificial Intelligent Systems (HAIS 2009) aims at bringing together researchers in Knowledge Extraction based on Evolutionary Learning to discuss new trends for the research in the field.
This special session intends to be a forum for researchers to exchange new ideas and present recent developments that address knowledge extraction processes by means of evolutionary algorithms.
We encourage authors to submit original papers as well as preliminary and promising works in the topics of the special session. You have until February 4, 2009 to submit your contribution.
See the CFP for more details.
The International Conference on Pattern Recognition finished last Thursday in Tampa, Florida. 1631 papers by 3556 authors from 47 countries were submitted of which 1006 were accepted and grouped into 74 regular and 16 poster sessions. In one of the latter, we found a work on synthetic data set generation based on a class separability measure, a little participation of the GRSI leaded by Núria Macià , Ester Bernadó-Mansilla, and Albert Orriols-Puig.
The poster session was great, many people from different places (Cuba, Italy, France, Germany, Russia, Spain, and United Kingdom) were interested in the work and provided us with helpful suggestions to improve and enlarge our framework. So, many thanks to all of them.
S+SSPR, a satellite event of the ICPR, took place last week in the hustle and bustle of the University of Central Florida in Orlando.
Dr. Tin Kam Ho did a talk at S+SSPR entitled Data complexity analysis: Linkage between context and solution in classification. She explained that classification accuracy depends on both learner quality and intrinsic data complexity. So, changes in source data and feature transformations are necessary to reduce the data difficulty and to improve learner performance. Among her collaborators, she mentioned the work performed by Ester Bernadó, Albert Orriols, and Núria Macià. Data complexity is a large knowledge area which should be explored in many directions, Dr. Ho suggested some of them for further research, easier to follow than the conference indications.
This picture was taken by Dr. Ludmila Kuncheva, another invited speaker. With some nice pictures and a fresh touch of humor, she presented Linear discriminant classifier (LDC) for streaming data with concept drift. She provided a framework within which theoretical relationship can be sought between the window size and the classification error.
She is also offering a promising lecture in the ICPR under the interesting title Classifier ensembles: Facts, fiction, faults and future.
Prof. Pedro Domingos presented an impressive work summarized by the title Markov logic: A unifying language for structural and statistical pattern recognition. It is a powerful language that combines statistical and structural aspects of the input data. Models in Markov logic are sets of weighted formulas in first-order logic which are interpreted as templates for features of Markov random fields.
Finally, Dr. Horst Bunke presented Graph classification on dissimilarity space embedding. He proposed a methodology that consists in embedding graphs in vector spaces and then applying a statistical classifier to outperform classifiers that directly operate in the graph domain. It is a contribution towards unifying the domains of structural and statistical pattern recognition. We highlight a graph data base repository that contains data sets covering a wide spectrum of different applications.
For further information, please refer to S+SSPR web site.
Late, but no too late to publish a photo about the presentation of Albert Orriols in the IWLCS (International Workshop on Learning Classifier Systems) in GECCO’08.
Congratulations and good job or in other words “Feliç sant Joan”
Francesc Teixidó (Xec) is presenting his work on building picewise linear regressors from sets of continuously-labeled data with a hierarchical evolutionary algorithm. Fluent spanglish and nice, clear slides! And the best: today night celebration for the success :). Hope to see the follow-up of the work next year in Montreal!
Today’s agenda in GECCO: best paper nominees for GAs and EDAs. Therefore, going around to pick up some new ideas on enjoying nice discussions on several topics… and getting ready for tomorrow!
Still no pictures. But tomorrow, some labbies will be caught in action.
GECCO’08 has started with a fair enough amount of interesting tutorials and Workshops. Schedule for today: International Workshop on Learning Classifier Systems. Right now, we’ve seen very interesting papers on Pitts and Michigan LCS. Its seems that RL and knowledge representation is one of the most frequent topics dealt with in all the works.
Tomorrow: best paper awards sessions for EDAs and GA. So, stay tunned for more.