Natural Hazards and Earth System Sciences: 87–99 SRef-ID: nhessEuropean Geosciences Union © 2005 Author(s). This work is licensed under a Creative Commons License.

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Experimental Comparison of Symbolic Learning Programs for the Classification of Gene Network Topology Models

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Natural Hazards and Earth System Sciences: 359–374 SRef-ID: nhess © European Geosciences Union 2004 Natural Hazards and Earth

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J1.5 NON DARWINIAN EVOLUTION FOR SOURCE ESTIMATION G. Cervone∗1 and P. Franzese2 Dept. of Geography and Geoinformation Science, George Mason University 2

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This article was downloaded by: [George Mason University] On: 24 October 2012, At: 07:17 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: Registered office: Mortimer Hous

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Advanced Review Algorithm quasi-optimal (AQ) learning Guido Cervone,1∗ Pasquale Franzese2 and Allen P. K. Keesee3 The algorithm quasi-optimal (AQ) is a powerful machine learning methodology

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Eos, Vol. 87, No. 8, 21 Februaryforum COMMENT & REPLY Comment on “Satellite Altimetry and

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The Development of the AQ20 Learning System and Initial Experiments Guido Cervone Liviu Panait Ryszard Michalski* Machine Learning and Inference Laboratory, George Mason University, Fairfax,

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• Theoretical computer science
• Algorithms
• Formal methods
• Software engineering
• HindleyMilner type system
• Lambda calculus
• Type theory
• Mathematics

SOURCE DETECTION OF ATMOSPHERIC RELEASES USING SYMBOLIC MACHINE LEARNING CLASSIFICATION AND REMOTE SENSING Mark C. Bowman, Guido Cervone, Dr. Pascale Franzese George Mason University, Fairfax, VAABSTRACT This pape

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• Earth observation satellites
• Earth
• National Oceanic and Atmospheric Administration
• Unmanned spacecraft
• Weather satellites
• Geographic data and information
• NPOESS
• Advanced very-high-resolution radiometer
• Polar Operational Environmental Satellites
• Visible Infrared Imaging Radiometer Suite
• Remote sensing
• Infrared

Source Term Estimation for the 2011 Fukushima Nuclear Accident 2011 Fukushima Accident Special Session Boulder CO, FebruaryG. Cervone and P. Franzese

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• Nuclear physics
• Energy
• Nuclear technology
• Fukushima Prefecture
• Fukushima Daiichi nuclear disaster
• Environment
• Thoku earthquake and tsunami
• Nuclear safety and security
• Nuclear and radiation accidents and incidents
• Nuclear power
• Radioactive contamination
• Radiation effects from the Fukushima Daiichi nuclear disaster