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ICAI 2013 : The 2013 International Conference on Artificial Intelligence

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Link: http://www.world-academy-of-science.org/worldcomp13/ws/conferences/icai13
 
When Jul 22, 2013 - Jul 25, 2013
Where Las Vegas, USA
Submission Deadline Mar 18, 2013
Notification Due Apr 18, 2013
Final Version Due May 5, 2013
Categories    artificial intelligence
 

Call For Papers

You are invited to submit a full paper for consideration. All accepted papers will be published in printed conference books/proceedings (ISBN) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data for each paper. In addition, like prior years, extended versions of selected papers (about 35%) will appear in journals and edited research books (publishers include: Springer, Elsevier, BMC, and others). ICAI'13 is composed of a number of tracks, including: tutorials, sessions, workshops, posters, and panel discussions. The conference will be held July 22-25, 2013, Las Vegas, USA.

Topics of interest include, but are not limited to, the following:


Brain models / cognitive science
Natural language processing
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving techniques
Knowledge networks and management
Intelligent information systems
Intelligent data mining and farming
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Learning and adaptive sensor fusion
Search and meta-heuristics
Swarm Optimization
Multisensor data fusion using neural and fuzzy techniques
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Topics on satisfiability
Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications, ...)
Machine Learning
- General Machine Learning Theory
- Statistical learning theory
- Unsupervised and Supervised Learning
- Hierarchical learning models
- Relational learning models
- Meta learning
- Stochastic optimization
- Simulated annealing
- Heuristic optimization techniques
- Neural networks
- Reinforcement learning
- Multi-criteria reinforcement learning
- Multiple hypothesis testing
- Decision making
- Markov chain Monte Carlo (MCMC) methods
- Graphical models
- Gaussian graphical models
- Cross-Entropy method
- Ant colony optimization
- Time series prediction
- Fuzzy logic and learning
- Inductive learning and applications
- Grammatical inference
- General Graph-based Machine Learning Techniques
- Graph-based semi-supervised learning
- Graph clustering
- Graph learning based on graph transformations and grammars
- Graph learning based on graph matching
- Information-theoretical approaches to graphs
- Motif search
- Network inference
- General issues in graph and tree mining
- Computational Finance
- Computational Intelligence
- Induction of document grammars
- Supervised and unsupervised classification of web data
- General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining - Latent semantic analysis
- Intelligent linguistic
- Aspects of text technology
- Computational vision
- Bioinformatics and computational biology
- Biostatistics
- Biological network analysis

protein-protein networks, signaling networks, metabolic networks, transcriptional regulatory networks. systems biology

- Graph-based models in biostatistics
- Computational Neuroscience
- Computational Chemistry
- Computational Statistics
- Algebraic Biology

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