| 1 M. S. Bartlett (Associate Professor, Institute for Neural Computation University of California) |
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| Expertise: Channel state information / Universal coding Face Recognition / Human Motion Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 2 Geoffrey Gordon (Associate research professor, Machine Learning Department,Carnegie Mellon) |
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| Expertise: Performance Management / Capacity Planning Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 3 J. Cowan (Professor, Mathematics Department Department of Neurology Committee on Computational Neuroscience) |
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| Expertise: Neural Networks / BYY learning Machine Learning | |||||
| 4 L. Cooper (Professor, Brown University's Center for Neural Science) |
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| Expertise: Neural Networks / BYY learning Error function / Runge-Kutta integration Neural Networks Machine Learning | |||||
| 5 J. R. Quinlan |
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| Expertise: Data Analysis / Computer Systems Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 6 B. G. Buchanan (Professor, Department of Computer Science University of Pittsburgh) |
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| Expertise: Knowledge-based data analysis / Medical Costs Intelligent Systems / Artificial Intelligence Data mining Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 7 R. J. Adler (B.Sc.- 1972, M.Sc.- 1973, Ph.D.- 1976 (University of New South Wales) Disciplinary area(s): Probability and Statistics) |
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| Expertise: Sensor Networks / Outdoor wireless Error function / Runge-Kutta integration Simulation system / Manufacturing Systems Machine Learning | |||||
| 8 R. Rivest (Professor, Department of Electrical Engineering and Computer Science MIT) |
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| Expertise: Communication Complexity / Lower Bounds Error function / Runge-Kutta integration Computer / Systems Signature Schemes / Authenticated Key Exchange Secure Machine Learning | |||||
| 9 J. Makhoul (Chief Scientist, Speech and Signal Processing at Bolt Beranek and Newman Inc.) |
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| Expertise: Speech recognition / Model compensation approach Character Recognition Learning Search Control Rules / Explanation-based Approach Computer / Systems Machine Learning | |||||
| 10 L. Valiant (Professor, Computer Science and Applied Mathematics, School of Engineering and Applied Sciences, Harvard University.) |
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| Expertise: Communication Complexity / Lower Bounds Machine Learning | |||||
| 11 Alan Willsky (Professor, Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Laboratory for Information and Decision Systems Computer Science and Artificial Intelligence Laboratory) |
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| Expertise: Channel state information / Universal coding Image Registration / MR Images Wavelet image coding / Video compression Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 12 Ryszard S. Michalski (Professor of Computational Sciences, George Mason University Computational Sciences and Health Informatics ) |
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| Expertise: Processing System / Versatile Real-Time Image Rough Set Learning Search Control Rules / Explanation-based Approach Learning Systems / Knowledge Representation Machine Learning | |||||
| 13 Boris Mirkin |
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| Expertise: Conceptual Graphs / Formal Concept Analysis Combinatorial optimization problem / Linear Programming Programming Language / Multiprogramming System Fuzzy interval data / Bayesian model choice Nonlinear problem / Average complexity Machine Learning | |||||
| 14 Dana Ballard (Professor, University of Texas at Austin Computer Science Brain & Cognitive Sciences) |
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| Expertise: Neural Networks / BYY learning Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 15 C. A. Micchelli (Full Professor, IBM T.J. Watson Research Center) |
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| Expertise: Error function / Runge-Kutta integration Finite element method / Error estimation Surface interpolation / Geometric modeling Machine Learning | |||||
| 16 Ian H. Witten (Professor, Department of Computer Science University of Waikato New Zealand) |
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| Expertise: Data Compression / Arithmetic Coding Digital library / Information Access Programming Language / Multiprogramming System Interactive Computer Systems / Knowledge Acquisition Database Systems / Programming Languages Machine Learning | |||||
| 17 Geoffrey Hinton (Professor, Department of Computer Science University of Toronto) |
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| Expertise: Object Recognition / Two-View Motion Estimation Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 18 E. D. Sontag (Department of Mathematics The State University of New Jersey) |
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| Expertise: Communication Complexity / Lower Bounds Neural Networks / BYY learning Approximation Algorithms / Perfect Graphs Optimal control Finite Languages / Database Queries Machine Learning | |||||
| 19 D. Sleeman |
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| Expertise: Knowledge-based data analysis / Medical Costs Semantic Web / Ontology Alignment Learning Search Control Rules / Explanation-based Approach Interactive Computer Systems / Knowledge Acquisition Machine Learning | |||||
| 20 Carlos Domingo |
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| Expertise: Machine Learning | ||||
| 21 Vijay V. Raghavan (Distinguished Professor, Computer Science, UL-Ctr. for Adv. Computer Studies) |
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| Expertise: Communication Complexity / Lower Bounds Information Retrieval / Probabilistic Indexing Rough Set XML Data Control property / Formalized analysis Machine Learning | |||||
| 22 Rusins Freivalds (Head of Division of Discrete Mathematics , Faculty of Physics and Mathematics, University of Latvia ) |
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| Expertise: Communication Complexity / Lower Bounds Automata Theory / Slender Languages Logic Networks / Fault Simulation Machine Learning | |||||
| 23 E. B. Kinber |
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| Expertise: Communication Complexity / Lower Bounds Automata Theory / Slender Languages Machine Learning | ||||
| 24 T. Fine (Professor, School of Electrical & Computer Engineering) |
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| Expertise: Channel state information / Universal coding Bayesian Networks Machine Learning | |||||
| 25 S. R. Ray |
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| Expertise: Learning Search Control Rules / Explanation-based Approach Information Systems Design / Micro computer software Machine Learning | |||||
| 26 Tom M. Mitchell (Professor, Machine Learning Department School of Computer Science Carnegie Mellon University) |
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| Expertise: Intelligent Systems / Artificial Intelligence Data mining Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 27 D. Angluin (Professor, Department of Computer Science, Yale University) |
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| Expertise: Communication Complexity / Lower Bounds Finite Languages / Database Queries Dynamic Networks / Extended Abstract Machine Learning | |||||
| 28 Pat Langley (Director, Institute for the Study of Learning and Expertise) |
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| Expertise: Data mining Multi-Agent Systems / Agent organization Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 29 Jaime G. Carbonell (Professor of Computer Science, Carnegie Mellon University School of Computer Science Language Technologies Institute eCommerce Universal Library) |
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| Expertise: Natural Language System / Statistical Machine Translation Information Retrieval / Probabilistic Indexing Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 30 S. Matwin (Professor , School of Information Technology and Engineering (SITE) University of Ottawa) |
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| Expertise: Data mining Software Engineering / Business Maintenance Model Learning Search Control Rules / Explanation-based Approach Learning Systems / Knowledge Representation Machine Learning | |||||
| 31 Ivan Bratko (Professor, computer science at University of Ljubljana) |
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| Expertise: Knowledge-based data analysis / Medical Costs Intelligent Systems / Artificial Intelligence Default Logic / Description Logics Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 32 G. DeJong (Professor, Thomas M. Siebel Center for Computer Science University of Illinois) |
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| Expertise: Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 33 Carl H. Smith (Professor, Core Laboratory Chemistry Section Core Laboratory Laboratory Medicine Carl H. Smith Research Lab) |
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| Expertise: Communication Complexity / Lower Bounds Automata Theory / Slender Languages Machine Learning | |||||
| 34 Yves Kodratoff (Directeur de recherche CNRS) |
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| Expertise: Reutilisation de l / Une application Learning Search Control Rules / Explanation-based Approach Learning Systems / Knowledge Representation Machine Learning | |||||
| 35 Akira Maruoka |
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| Expertise: Communication Complexity / Lower Bounds Approximation Algorithms / Perfect Graphs Automata Theory / Slender Languages Finite Languages / Database Queries Machine Learning | ||||
| 36 David Cohn |
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| Expertise: Mechanism design / Learning Stochastic Finite Automata Software Engineering / Design Patterns Frameworks File System / Software Systems Machine Learning | ||||
| 37 D. W. Hammerstrom |
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| Expertise: Wireless Networks / Algorithmic Complexity Instruction Cache Organizations / Branch Prediction Neural Networks Machine Learning | ||||
| 38 W. Maass (Professor, Institute for Theoretical Computer Science Technische Universität Graz ) |
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| Expertise: Communication Complexity / Lower Bounds Neural Networks / BYY learning Automata Theory / Slender Languages Machine Learning Infinitary Logic / Recursive Models | |||||
| 39 Andrew Barto (Professor, Autonomous Learning Laboratory Department of Computer Science University of Massachusetts Amherst) |
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| Expertise: Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 40 J. H. Friedman (Department of Statistics and Stanford Linear Accelerator Center Stanford University) |
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| Expertise: Data mining Database Systems Logic Networks / Fault Simulation Machine Learning | |||||
| 41 John Case (Professor, Department of Computer and Information Sciences University of Delaware ) |
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| Expertise: Machine Learning Infinitary Logic / Recursive Models | |||||
| 42 Hans Ulrich Simon |
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| Expertise: Communication Complexity / Lower Bounds Automata Theory / Slender Languages Machine Learning | |||||
| 43 P. Brazdil (Full Professor, Faculty of Economics (FEP) of University of Porto) |
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| Expertise: E-learning Support System / Neural Networks Data mining Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 44 Rolf Wiehagen (Professor, Universität Kaiserslautern AG Algorithmisches Lernen) |
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| Expertise: Der Informatik / Zur Bedeutung von Modellen Automata Theory / Slender Languages Machine Learning | |||||
| 45 John Case |
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| Expertise: Machine Learning | ||||
| 46 A. J. Bell (Professor, Redwood Center for Theoretical Neuroscience UC Berkeley ) |
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| Expertise: Machine Learning | |||||
| 47 Takashi Yokomori (Professor, Graduate School of Science University of Tokyo) |
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| Expertise: Molecular Systems / Membrane Computing Logic Programs Automata Theory / Slender Languages Machine Learning | |||||
| 48 K. P. Jantke (Professor, Head of Department, Fraunhofer Institute for Digital Media Technology IDMT ) |
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| Expertise: Logic Programs Intelligent Systems / Artificial Intelligence Automata Theory / Slender Languages Logic Programs / Algebraic Semantics Learning Systems / Knowledge Representation Machine Learning | |||||
| 49 C. Sammut (Professor, Computer Science and Engineering University of New South Wales) |
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| Expertise: Character Recognition Fuzzy Genetic Algorithms / Bayesian Network Data Analysis / Computer Systems Learning Search Control Rules / Explanation-based Approach Intelligent User Interfaces / National RoboCup Team Machine Learning | |||||
| 50 Masateru Harao |
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| Expertise: Data mining Finite Languages / Database Queries Theorem Proving / General-Purpose Automated Reasoning Control System / Data Security Machine Learning | ||||