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Tight Bounds for Distributed Functional Monitoring David Woodruff IBM Almaden Qin Zhang Aarhus University MADALGO Based on a paper in STOC, 2012
Documents Tight Bounds for Distributed Functional Monitoring David Woodruff IBM Almaden Qin Zhang Aarhus University MADALGO Based on a paper in STOC, 2012

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Erich Friedman Stetson University October 2, 2002 Spiral Galaxies Puzzles are NP-complete
Documents Erich Friedman Stetson University October 2, 2002 Spiral Galaxies Puzzles are NP-complete

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McIlraith for DAML-S Coalition DAML PI Meeting 07/19/01 Master Card 000 0000 000 000 EXP 00/00 VISA 000 0000 000 000 EXP 00/00 Jerry R. Hobbs American
Documents McIlraith for DAML-S Coalition DAML PI Meeting 07/19/01 Master Card 000 0000 000 000 EXP 00/00 VISA 000 0000 000 000 EXP 00/00 Jerry R. Hobbs American

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Artificial Intelligence 6. Representing Knowledge in Predicate Logic Course V231 Department of Computing Imperial College, London Jeremy Gow
Documents Artificial Intelligence 6. Representing Knowledge in Predicate Logic Course V231 Department of Computing Imperial College, London Jeremy Gow

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Artificial Intelligence 17. Genetic Programming Course V231 Department of Computing Imperial College © Simon Colton
Documents Artificial Intelligence 17. Genetic Programming Course V231 Department of Computing Imperial College © Simon Colton

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Introduction to Neural Networks Neural Nets slides mostly from: Andy Philippides,University of Sussex
Documents Introduction to Neural Networks Neural Nets slides mostly from: Andy Philippides,University of Sussex

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Recht und Ökonomie SS 2011Microeconomics Repetition Part 1 Recht und Ökonomie (Law and Economics) LVA-Nr.: 239.203 SS 2011 Microeconomics (Repetition Part
Documents Recht und Ökonomie SS 2011Microeconomics Repetition Part 1 Recht und Ökonomie (Law and Economics) LVA-Nr.: 239.203 SS 2011 Microeconomics (Repetition Part

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Testing 1…2…3... Gail Kaiser, Columbia University kaiser@cs.columbia.edu April 18, 2013
Documents Testing 1…2…3... Gail Kaiser, Columbia University [email protected] April 18, 2013

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Virtual Weatherman: A pattern recognition approach to weather prediction Joo Hyun (Paul) Song
Documents Virtual Weatherman: A pattern recognition approach to weather prediction Joo Hyun (Paul) Song

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SPN7, University of Sheffield 29/8/13 PREDICTING CSO CHAMBER DEPTH USING ARTIFICIAL NEURAL NETWORKS WITH RAINFALL RADAR DATA Dr. Steve Mounce Mr. Gavin
Documents SPN7, University of Sheffield 29/8/13 PREDICTING CSO CHAMBER DEPTH USING ARTIFICIAL NEURAL NETWORKS WITH RAINFALL RADAR DATA Dr. Steve Mounce Mr. Gavin

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WITHOUT LANGUAGE [ DEVELOPING GEO-PROCESSING MODELS USING ARCGIS MODELBUILDER 10 ] PROGRAMMING R. RYAN STEVENS / GIS RESEARCH ANALYST / THE POLIS CENTER
Documents WITHOUT LANGUAGE [ DEVELOPING GEO-PROCESSING MODELS USING ARCGIS MODELBUILDER 10 ] PROGRAMMING R. RYAN STEVENS / GIS RESEARCH ANALYST / THE POLIS CENTER

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Topic 12: Machine Learning 1 CS 271, Fall 2007: Professor Padhraic Smyth Timeline Remaining lectures –2 lectures on machine learning (today and next Thursday)
Documents Topic 12: Machine Learning 1 CS 271, Fall 2007: Professor Padhraic Smyth Timeline Remaining lectures –2 lectures on machine learning (today and next Thursday)

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