Call for Papers

 

ICMLA '06: The Fifth International Conference on Machine Learning and Applications

 

December 14-16, 2006, Sheraton World Resort

10100 International Drive, Orlando, Florida, USA

 

Co-Sponsored by:
Association for Machine Learning and Applications
California State University Bakersfield
University of Louisville 
Florida International University
Armstrong Atlantic state University
IEEE SMC (technical co-sponsorship)
 
Conference Proceedings will be Published by:
IEEE
 

http://www.cs.csubak.edu/~icmla/icmla06/ or http://icmla.cs.csub.edu/icmla06/


AIMS AND SCOPE

ICMLA'06 aims to bring together researchers and practitioners to present the latest achievements and innovations in the area of machine learning (ML).
The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications, novel algorithms, software and systems. Following the success of previous
ICMLA conferences, for the fifth time it attracts researchers and application developers from a wide range of ML related areas such as statistical, probabilistic, fuzzy, evolutionary, inductive, and other kinds of
learning, data mining, knowledge discovery, pattern recognition, knowledge acquisition and retrieval, databases, data warehousing and visualization, knowledge-based systems and high performance computing. 
The main goal of the conference is to advance the state-of-the-art in ML via promotion of high quality and novel research.

Scope of the Conference:


         multistrategy learning

         statistical learning

         neural network learning

         learning through fuzzy logic

         learning through evolution

(evolutionary algorithms)

         Bayesian network

         case-based reasoning

         evolutionary computation

         reinforcement learning

         machine learning of natural language

         grammatical inference

         knowledge acquisition and learning

         multi lingual knowledge acquisition and representation

         knowledge discovery in databases

         knowledge intensive learning

         knowledge representation and reasoning

         information retrieval and learning

         theories and models for plausible reasoning

         cooperative learning

         planning and learning

         multi-agent learning

         web navigation and mining

         learning through mobile data mining

         online and incremental learning

         scalability of learning algorithms

         learning through text and multimedia mining

         distributed and parallel learning algorithms and applications

         inductive learning

         inductive logic programming

         feature extraction and classification

         support vector machines

         computational learning theory

         cognitive-modeling

         hybrid algorithms

         machine learning in

    • game playing and problem solving
    • intelligent virtual environments
    • homeland security applications
    • industrial applications
    • science and engineering
    • medicine
    • bioinformatics
    • computational biology

 

Contributions describing applications of machine learning techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights

into the design of ML systems, and papers describing development of new analytical frameworks that advance practical learning methods are especially encouraged.

 

IMORTANT DATES

PAPER SUBMISSIONS ARE EXTENDED until JUNE 29

Due to numerous requests from authors the paper submission deadline has been extended by two weeks. To assure high quality of the review process no submissions will be accepted after that date.

Regular Research Papers due:  June 15, 2006 June 29, 2006
Notification of acceptance:  September 1, 2006
Camera-ready papers & Pre-registration: October 1, 2006
The ICMLA Conference:  December 14-16, 2006
All paper submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at http://www.cs.csubak.edu/~icmla/icmla06/ or http://icmla.cs.csub.edu/icmla06/


SUBMISSIONS

High quality papers in all ML areas are solicited. Papers that present new directions will receive especially careful and supportive reviews. Authors are expected to ensure that their final manuscripts are original and
are not appearing in the other publications. Paper should be limited to 4-6 pages and submitted in IEEE format (double column). Papers will be reviewed by the Program Committee on the basis of technical quality,
originality, significance, and clarity. All submissions will be handled electronically. Accepted papers will be published in the conference proceedings, as a hardcopy. A selected number of accepted papers will be
invited for possible inclusion, in an expanded and revised form, in a journal. ICMLA'06 Best Paper Awards will be conferred at the conference on the authors of the best research paper.

 

Simultaneous Submissions: Submitting a paper simultaneously to ICMLA'06 and another conference is permitted, if the acceptance notification date of the other conference is no later than September 1, 2006.
Authors of such a paper must clarify in the submission form to which conference the paper is simultaneously submitted. If such a paper is accepted for both ICMLA'06 and the other conference, authors need to
withdraw the paper from the other conference to have it published in ICMLA'06.

Detailed instructions for submitting papers can be found at http://www.cs.csubak.edu/~icmla/icmla06/ or http://icmla.cs.csub.edu/icmla06/

 

For further information contact Program co-Chairs:

Dr. Lukasz Kurgan lkurgan@ece.ualberta.ca

Dr. Jieping Ye jieping@asu.edu


SPECIAL SESSIONS and TUTORIALS

We invite submission of proposals for special sessions and tutorials. Proposals to organize such sessions should include the following information:
 - name and address of the proposer(s)
 - title of the session
 - description of the session (see further details below)
Each special session will have at least six paper presentations.
The special session chairs will be responsible for soliciting the papers, reviewing, and making final decisions, in consultation with the conference chairs.
The description of the session should include a short description on how the session will be advertised. Proposals to organize tutorials should be 1-5 pages long and should include a definition of the scope of coverage. Special sessions will be open to all participants.

 

For further information contact:

Dr. Hui Xiong at hui@rbs.rutgers.edu

 Special Sessions and Tutorials Chair
 

 
VENUE 
You are cordially invited to participate in the ICMLA'06, to be held at Orlando, Florida. The hotel website gives information on nearby attractions http://www.sheratonworld.com/.
 

ORGANIZING BODIES

 

Advisory Committee

Jerome H. Friedman, Stanford University, USA

Michalski Ryszard, George Mason University, USA

Tom Mitchell, Carnegie Mellon University, USA

Kurt VanLehn, University of Pittsburgh, USA

David McAllester, Toyota Technological Institute at Chicago

Robert Schapire, Princeton University, USA

Xin Yao, University of Birmingham, UK

Lofti Zadeh, University of California Berkeley, USA

 

Technical Meeting Committee

 

General Chair

M. Arif Wani California State University Bakersfield, USA

 

Conference Chair
Tao Li Florida International University, USA

taoli@cs.fiu.edu

 

Program co-Chairs

Lukasz Kurgan University of Alberta, Canada

Jieping Ye Arizona State University, USA

 

Special Sessions and Tutorials Chair

Hui Xiong, Rutgers University, USA

 

Publicity Chair

Khalid Hafeez University of Bradford, UK

Mitsunori Ogihara, University of Rochester, USA

 

Registration Chair

Adel Elmaghraby University of Louisville, USA

 

Awards Chair
Mariofanna Milanova University of Arkansas at Little Rock, USA

Sponsorship Chair

Ray R. Hashemi Armstrong Atlantic State University, USA

 

Industry track Chair

Tong Sun, Xerox Research Lab, USA

Shenghuo Zhu, NEC Research Lab, USA

 

Web Master

Steve Garcia California State University Bakersfield, USA