Call for Papers

Special Track on Machine Learning

at The 20th International FLAIRS Conference (FLAIRS-2007)

In cooperation with The American Association for Artificial Intelligence

Casa Marina Resort and Beach Club
Key West, Florida
May 7-9, 2007

FLAIRS-2007 Conference web site: http://www.cise.ufl.edu/~ddd/FLAIRS/flairs2007/

Call for Papers

The Machine Learning track at FLAIRS-2007 is intended to provide an international forum for discussing the latest results in the area of Machine Learning (ML). It will be organized within the framework of the FLAIRS conference that traditionally brings together researchers and practitioners from a wide range of AI related areas. As a core AI topic, ML always responds to the general AI trends. The current AI developments related to Security, Extracting knowledge from the Web, and Bioinformatics are no exception. Accordingly the track will focus on modern ML approaches to Security, Web mining, and Bioinformatics. All traditional ML approaches will also be included.

Specifically we invite submissions that fall within the following topics: Abduction, Analogy, Agent learning, Applications of machine learning, Automated knowledge acquisition, Computational learning theory, Conceptual clustering, Ensemble learning, Explanation-based learning, Function approximation, Inductive logic programming, Instance-based learning, Instructable agents, Kernel methods and support vector machines, Learning from relational data, Learning for planning, Knowledge intensive learning, Machine learning of natural language, Machine learning for security, Mixed-initiative learning, Multi- agent learning, Multistrategy learning, Ontology learning, Reinforcement learning, Statistical approaches, Web mining.

Submission in the areas of Security, Web mining, Bioinformatics, and real-life applications of ML are especially encouraged. High quality papers in any other area of Machine Learning are also welcomed.

Submission Guidelines

Interested authors must submit an electronic PDF copy of their complete manuscript of no more than 6 pages by November 20, 2006. All submissions must be original work and not submitted concurrently to a journal or another conference. More information about the paper submission process is available from the Author Instructions page at http://www.cise.ufl.edu/~ddd/FLAIRS/flairs2007/authordirs.html.

Authors should format their paper according to the AAAI guidelines. Papers must be submitted in PDF format through the online submission system. Authors should indicate the Machine Learning special track for their papers. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. An author of each accepted paper is required to register and attend FLAIRS, and present the paper.

Conference Proceedings

Papers will be refereed and all accepted papers will appear in the conference proceedings which will be published by AAAI Press. Select papers will receive best-paper awards.

Invited Speakers

Important Deadlines

Program Committee

 Mohammed Abdel Razek, University of Montreal, Canada
Jesus Cerquides, Universitat de Barcelona, Spain
Diane Cook, Washington State University, USA
Artur d'Avila Garcez, City University London, UK
Olac Fuentes, University of Texas at El Paso, USA
Michael Gerogiopoulos, University of Central Florida, USA
Jesus Gonzalez, National Institute of Astrophysics, Optics and Electronics, Mexico
Henry Hexmoor, University of Arkansas, USA
Larry Holder, Washington State University, USA (Co-chair)
Manfred Huber, University of Texas at Arlington, USA
Sudharsan Iyengar, Winona State University, USA
Istvan Jonyer, Oklahoma State University, USA
Miroslav Kubat, University of Miami, USA.
Andrew Kun, University of New Hampshire, USA
Zhi-Qiang Liu, School of Creative Media, Hong Kong, China
Zdravko Markov, Central Connecticut State University, USA (Co-chair)
Luis Nino, National University of Colombia, Colombia
Simon Parsons, Brooklyn College, City University of New York, USA
Jorge Ramirez, Apple Computer, USA
Vasile Rus, The University of Memphis, USA
Ingrid Russell, University of Hartford, USA

Further Information

Conference Web Sites