Showing posts with label 2007. Show all posts
Showing posts with label 2007. Show all posts
Sunday, September 02, 2007
Paper accepted by Australian AI 2007
My paper, "Local Learning Algorithm for Markov Blanket Discovery: Correct, Data Efficient, Scalable and Fast", that co-authored with my professor Michel Desmarais is justed accepted as full paper by Australian National Conference on AI 2007. Keep working for more!!
Tuesday, December 05, 2006
ICANN'07 CFP
ICANN 2007 welcomes contributions on the theory, algorithms and applications in the following broad areas:
• Computational neuroscience
• Connectionist cognitive science
• Data analysis and pattern recognition
• Graphical networks models, Bayesian networks
• Hardware implementations and embedded systems
• Intelligent Multimedia and the Semantic Web
• Neural and hybrid architectures and learning algorithms
• Neural control, planning and robotics applications
• Neural dynamics and complex systems
• Neuroinformatics
• Real world applications
• Self-organization
• Sequencial and structured information processing
• Signal and time series processing, blind source separation
• Vision and image processing
Ideas and nominations for interesting tutorials, special sessions, workshops and experts willing to organize various session tracks are called for. Most active experts will be included in the scientific committee of the conference.
Proceedings of ICANN will be published in Springer's Lecture Notes in Computer Science series. Paper length is restricted to a maximum of 10 pages, including figures. Papers will be blind reviewed. Instructions for authors are given here.
An extended version of selected ICANN 2007 papers will be published in a Special Issue of Elsevier's journal Neural Networks.
• Computational neuroscience
• Connectionist cognitive science
• Data analysis and pattern recognition
• Graphical networks models, Bayesian networks
• Hardware implementations and embedded systems
• Intelligent Multimedia and the Semantic Web
• Neural and hybrid architectures and learning algorithms
• Neural control, planning and robotics applications
• Neural dynamics and complex systems
• Neuroinformatics
• Real world applications
• Self-organization
• Sequencial and structured information processing
• Signal and time series processing, blind source separation
• Vision and image processing
Ideas and nominations for interesting tutorials, special sessions, workshops and experts willing to organize various session tracks are called for. Most active experts will be included in the scientific committee of the conference.
Proceedings of ICANN will be published in Springer's Lecture Notes in Computer Science series. Paper length is restricted to a maximum of 10 pages, including figures. Papers will be blind reviewed. Instructions for authors are given here.
An extended version of selected ICANN 2007 papers will be published in a Special Issue of Elsevier's journal Neural Networks.
Thursday, November 23, 2006
COLT 2007
The Twentieth Annual Conference on Learning Theory (COLT 2007) will take place on 13-15 June, 2007, in San Diego, California, as part of the 2007 Federated Computing Research Conference (FCRC) .
Electronic submission of papers
January 16, 2007 (5:59pm PST)
Elec. submission of two-page open problems
February 15, 2007
Notification of acceptance or rejection
March 12, 2007
Final submission of all papers
March 23, 2007
Conference dates
June 13-15, 2007
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