ICAI 2013 - The 2013 International Conference on Artificial Intelligence

Topics of interest include, but are not limited to, the following:
AI and evolutionary algorithms
Algebraic Biology
Ant colony optimization
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, ...)
Aspects of text technology
Automated problem solving
Bioinformatics and computational biology
Biological network analysis
Biostatistics
Brain models / cognitive science
Computational Chemistry
Computational Finance
Computational Intelligence
Computational Neuroscience
Computational Statistics
Computational vision
Constraint-based reasoning and constraint programming
Cross-Entropy method
Decision making
Decision support systems
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Emerging technologies
Evaluation of AI tools
Expert systems
Fuzzy logic and learning
Fuzzy logic and soft computing
Gaussian graphical models
General Graph-based Machine Learning Techniques
General issues in graph and tree mining
General Machine Learning Theory
General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining - Latent semantic analysis
Grammatical inference
Graph clustering
Graph learning based on graph matching
Graph learning based on graph transformations and grammars
Graph-based models in biostatistics
Graph-based semi-supervised learning
Graphical models
Heuristic optimization techniques
Heuristic searching methods
Hierarchical learning models
Induction of document grammars
Inductive learning and applications
Information-theoretical approaches to graphs
Integration of AI with other technologies
Intelligent agents
Intelligent data mining and farming
Intelligent databases
Intelligent information fusion
Intelligent information systems
Intelligent linguistic
Intelligent networks
Intelligent tutoring systems
Intelligent user interface
Intelligent web-based business
Knowledge acquisition
Knowledge discovery
Knowledge networks and management
Knowledge representation
Knowledge-intensive problem solving techniques
Languages and programming techniques for AI
Learning and adaptive sensor fusion
Machine Learning
Markov chain Monte Carlo (MCMC) methods
Meta learning
Motif search
Multi-criteria reinforcement learning
Multiple hypothesis testing
Multisensor data fusion using neural and fuzzy techniques
Natural language processing
Network inference
Neural networks
Neural networks and applications
Protein-protein networks, signaling networks, metabolic networks, transcriptional regulatory networks. systems biology
Reasoning strategies
Reinforcement learning
Relational learning models
Search and meta-heuristics
Simulated annealing
Social impact of AI
Social intelligence (markets and computational societies)
Software tools for AI
Statistical learning theory
Stochastic optimization
Supervised and unsupervised classification of web data
Swarm Optimization
Time series prediction
Topics on satisfiability
Unsupervised and Supervised Learning