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Scope

Last modified 2008-10-22 19:28

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
    • 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
    • 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, ...)
    • The 2009 International Workshop on Machine Learning; Models, Technologies and Applications:
          - General Machine Learning Theory
            . Statistical learning theory
            . Unsupervised and Supervised Learning
            . Multivariate analysis
            . Hierarchical learning models
            . Relational learning models
            . Bayesian methods
            . Meta learning
            . Stochastic optimization
            . Simulated annealing
            . Heuristic optimization techniques
            . Neural networks
            . Reinforcement learning
            . Multi-criteria reinforcement learning
            . General Learning models
            . Multiple hypothesis testing
            . Decision making
            . Markov chain Monte Carlo (MCMC) methods
            . Non-parametric methods
            . Graphical models
            . Gaussian graphical models
            . Bayesian networks
            . Particle filter
            . 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 kernel and graph distance methods
            . Graph-based semi-supervised learning
            . Graph clustering
            . Graph learning based on graph transformations
            . Graph learning based on graph grammars
            . Graph learning based on graph matching
            . General theoretical aspects of graph learning
            . Statistical modeling of graphs
            . Information-theoretical approaches to graphs
            . Motif search
            . Network inference
            . General issues in graph and tree mining

          - Machine Learning Applications
            . Aspects of knowledge structures
            . Computational Finance
            . Computational Intelligence
            . Knowledge acquisition and discovery techniques
            . 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
            . Aspects of natural language processing
            . Intelligent linguistic
            . Aspects of text technology
            . Computational vision
            . Bioinformatics and computational biology
            . Biostatistics
            . High-throughput data analysis
            . Biological network analysis: protein-protein networks, signaling networks, metabolic networks, transcriptional regulatory networks
            . Graph-based models in biostatistics
            . Computational Neuroscience
            . Computational Chemistry
            . Computational Statistics
            . Systems Biology
            . Algebraic Biology
Academic Co-Sponsors

United States Military Academy, Network Science Center

Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA

Argonne's Leadership Computing Facility of Argonne National Laboratory
Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA
Minnesota Supercomputing Institute, University of Minnesota, USA
Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Austin, Texas, USA
Harvard Statistics Department Genomics & Bioinformatics Laboratory, Harvard University, USA

Texas Advanced Computing Center, The University of Texas at Austin, Texas
Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA

Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA

Institute of Discrete Mathematics and Geometry, Vienna University of Technology, Austria
BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
Knowledge Management & Intelligent System Center (KMIS) of University of Siegen, Germany

National Institute for Health Research, UK

Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA
Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia.
Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, Iowa, USA
SECLAB An inter-university research group (University of Naples Federico II, the University of Naples Parthenope, and the Second University of Naples, Italy)
The University of North Dakota, Grand Forks, North Dakota, USA
Intelligent Cyberspace Engineeing Lab., ICEL, Texas A&M; University (Com./Texas)

International Society of Intelligent Biological Medicine

World Academy of Biomedical Sciences and Technologies


Corporate Sponsor


Other Co-Sponsors
European Commission
High Performance Computing for Nanotechnology (HPCNano)

HoIP - Health without Boundaries

Hodges' Health
The International Council on Medical and Care Compunetics

GridToday - enewsletter focused on Grid, SOA, Virtualization, Storage, Networking and Service-Oriented IT

HPCwire - The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
The UK Department for Business, Enterprise & Regulatory Reform
VMW Solutions Ltd.
Scientific Technologies Corporation

Bentham Science Publishers

 

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