A Special Session on Learning methodologies for classification and decision making
will be held during the 4th Indian International Conference on Artificial Intelligence (IICAI-09).
Topics related to the various machine-learning methodologies and their applications are of interest. These include, but are not limited to:
- Supervised and unsupervised learning methodologies
- Semi-supervised and adaptive learning methodologies
- Neural network based learning methods
- Statistical learning methods
- Inductive and reinforcement learning
- Learning and knowledge building
- Feature extraction
- Clustering techniques
Other related areas
- Classification techniques
- Application of classification
- Statistical foundations for decision making
- Knowledge building
- Context capturing
- Pattern based decision making
Paper Submission and Publication:
Authors are encouraged to submit the papers for this session as an email attachment to the Session Chair given below. The papers should be in MSWORD, PDF, or PS format and should be formatted according to the Springer Lecture Notes instructions. The length of a paper should not exceed 20 pages. Shorter papers or papers on the work currently in progress are also welcome. The first page of the paper should contain the title, name(s) of the authors, affiliations, the postal and email addresses, and at least 3 keywords appropriate to the content of the paper. Further information regarding the paper submission can be obtained from the conference website too.
Each paper will be peer reviewed by at least two experts in the topical area. All accepted papers will be published in the conference proceedings, under the title of the session.
You may contact the conference chairs at iicai.conference[at]gmail.com
for any additional information.
May 1 2009: Paper manuscripts due.
June 15 2009: Notification of acceptance.
July 6 2009: Camera ready papers and Pre-registration due.
December 16-18, 2009: Special Session and the IICAI-09 Conference.
Dr. Parag Kulkarni
Dr. Bithika Samanta
Senior Manager R&D
Capsilon Research Labs
Kalyani Nagar, Pune- 411 014, India
Phone: 91-20-25633941 (r)
E-mail: email@example.com, firstname.lastname@example.org
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