-------- Original-Nachricht -------- Betreff: [computational.science] ICMLA 2008 CFP Datum: Tue, 18 Mar 2008 11:53:57 -0400 Von: Tony Hu thu@cis.drexel.edu Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Apologies for cross-posting
FIRST CALL FOR PAPERS ================================================================= The Seventh International Conference on Machine Learning and Applications
December 11-13, 2008 San Diego, California, USA
http://www.icmla-conference.org/icmla08/ ================================================================= AIMS AND SCOPE
ICMLA'08 aims to bring together researchers and practitioners to present the latest achievements and innovations in the area of machine learning. The conference provides a leading international forum for the dissemination of
original research in ML, with emphasis on applications, novel algorithms, software and systems. Topics of interest include but are not limited to:
* statistical learning * learning through fuzzy logic * case-based reasoning * reinforcement learning * machine learning of natural language * grammatical inference * knowledge acquisition and learning * knowledge discovery in databases * information retrieval and learning * web navigation and mining * learning through mobile data mining * online and incremental learning * learning through text and multimedia mining * inductive learning * machine learning in game playing and problem solving * machine learning in intelligent virtual environments * machine learning in homeland security applications * machine learning in science and engineering * machine learning in medicine * machine learning in bioinformatics
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.
The conference will also hold workshops, special sessions, and competition: * the second ICMLA workshop on Machine Learning in Biomedicine and Bioinformatics * Special sessions on -- From Biological Intelligence to Machine Intelligence: Algorithm
Abstraction, Evaluation, and Validation -- Applications of Machine Learning in Medicine and Biology -- Applications of Machine Learning in Radiotherapy -- Machine Learning and Data Mining Methods in Bioinformatics -- Machine Learning Applications in Multimedia Information Retrieval -- Statistical Data Mining and Machine Learning in Cancer Epidemiology and Cancer -- Application of Machine Learning in Constructing Biopatterns and
Analysing Bioprofiles
The ICMLA'08 Keynote Speakers include: Prof. Michael Jordan, UC Berkeley Prof. Andrew Moore, CMU and Google Prof. Dan Roth, UIUC Prof. Jude Shavlik, U of Wisconsin Prof. Bin Yu, UC, Berkeley
IMPORTANT DATAS
Regular research papers due: June 15, 2008 Tutorial proposals due: July 1, 2008 Notification of acceptance: September 1, 2008 Camera-ready papers & Pre-registration: October 1, 2008
All paper submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at http://www.icmla-conference.org/icmla08/
GENERAL CHAIR
Dr. M. Arif Wani, Email awani@csub.edu
CONFERENCE CHAIRS
Dr. Xue-wen Chen, Email xwchen@ku.edu Dr. David Casasent, Email casasent@ece.cmu.edu
PROGRAM CHAIRS
Dr. Xiaohua Tony Hu, Email: thu@cis.drexel.edu Dr. Lukasz Kurgan, Email: lkurgan@ece.ualberta.ca
Best regards!
Yours
Xiaohua (Tony) Hu, Ph.D. Associate Professor Editor-in-Chief, Int. Jour. of Data Mining & Bioinformatics IEEE CIS Granular Computing Technical Committee Chair IEEE CS Bioinformatics & Biomedicine Steering Committee Chair College of Information Science & Technology Drexel University, Philadelphia PA 19104, USA thu@cis.drexel.edu 215-8950551(O), 215-8952494(fax) http://www.cis.drexel.edu/faculty/thu http://www.inderscience.com/ijdmb http://www.ischool.drexel.edu/dmbio http://www.ieee-cis.org/gc