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ICMLA 2011 : Tenth International Conference on Machine Learning and Applications

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Conference Series : International Conference on Machine Learning and Applications
 
Link: http://www.icmla-conference.org/icmla11/
 
When Dec 18, 2011 - Dec 21, 2011
Where Honolulu, USA
Submission Deadline Jul 25, 2011
Notification Due Sep 2, 2011
Final Version Due Oct 1, 2011
Categories    machine learning
 

Call For Papers

Scope of the Conference:

statistical learning
neural network learning
learning through fuzzy logic
learning through evolution (evolutionary algorithms)
reinforcement learning
multistrategy learning
cooperative learning
planning and learning
multi-agent learning
online and incremental learning
scalability of learning algorithms
inductive learning
inductive logic programming
Bayesian networks
support vector machines
case-based reasoning
evolutionary computation
machine learning and natural language processing
multi-lingual knowledge acquisition and representation
grammatical inference
knowledge discovery in databases
knowledge Intensive Learning
machine learning and information retrieval
machine learning for bioinformatics and computational biology
machine learning for web navigation and mining
learning through mobile data mining
text and multimedia mining through machine learning
distributed and parallel learning algorithms and applications
feature extraction and classification
theories and models for plausible reasoning
computational learning theory
cognitive modeling
hybrid learning algorithms
machine learning in:
game playing and problem solving
intelligent virtual environments
industrial and engineering applications
homeland security applications
medicine, bioinformatics and systems biology
economics, business and forecasting applications

Contributions describing applications of machine learning (ML) 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 machine learning methods are especially encouraged.

Organizers

General Chair

Hisao Ishbuchi, Osaka Prefecture University, Japan

Conference Co-Chairs

Xue-wen Chen, University of Kansas, USA
Tharam Dillon, Curtin University of Technology, Western Australia

Program Committee Co-Chairs

Jian Pei, Simon Fraser University, Canada
Haixun Wang, Microsoft Research Asia, China

Tutorial Co-Chairs

Mark Kon, Boston University, USA
Alberto Policriti, Universita di Udine, Itlay

Publication Chair

Arif Wani, California State University Bakersfield, USA

Contest Chair

Mei Han, Google Research, USA

Local Arrangement Chair

Lipyeow Lim, University of Hawaii, USA

Sponsorship Chair

Yi Chang, Yahoo!, USA

Publicity Co-Chairs

Leif Peterson, Cornell University, USA
Bo Luo, University of Kansas, USA

Special Session/Workshop Organizers:

TBD

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