'Solution space' diaporamas de présentation

Problem Space Analysis for Plan Library Generation and Algorithm Selection in Real-time Systems

Problem Space Analysis for Plan Library Generation and Algorithm Selection in Real-time Systems. Robert H. Holder, III Dissertation Proposal Defense August 26, 2009. Committee: Dr. Tim Finin, Chair Dr. Marie desJardins Dr. Tim Oates Dr. R. Scott Cost.

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NEST Final Experiment: the application layer

NEST Final Experiment: the application layer. Phoebus Chen, Songhwai Oh, Bruno Sinopoli EECS UC Berkeley September 8, 2005. Outline. The application: Multiple-target tracking problem Pursuit Evasion Game The implementation The nitty gritty The result: Demonstration.

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Foundations of Constraint Processing CSCE421/821, Spring 2009:

Foundations of Constraint Processing CSCE421/821, Spring 2009: www.cse.unl.edu/~choueiry/S09-421-821/ Berthe Y. Choueiry (Shu-we-ri) Avery Hall, Room 360 choueiry@cse.unl.edu Tel: +1(402)472-5444. Intelligent Backtracking Algorithms. Reading. Required reading

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Jens Redemann , M. Vaughan, Y. Shinozuka , P. Russell, J. Livingston,

The combined use of MODIS, CALIPSO and OMI level 2 aerosol products for calculating direct aerosol radiative effects. Jens Redemann , M. Vaughan, Y. Shinozuka , P. Russell, J. Livingston, A. Clarke, L. Remer, C. Hostetler, R. Ferrare , J. Hair, P. Pilewskie , S. Schmidt, E. Bierwirth

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Rethinking Physicalism

Rethinking Physicalism. Susan Schneider The University of Connecticut. Background. In a previous book, I explored the computational paradigm in cognitive science. I devised a new version of one computational approach to the the brain. Digging Deeper.

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Unifying Planning Techniques

Unifying Planning Techniques. Jonathon Doran. The Planning Domain. A domain describes the objects, facts, and actions in the universe. We may have a box and a table in our universe. Fluents. There is a green box. The box is on the table. Propositions that are true or false at a point

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Biological and Artificial Neuron

Neural Networks. Learning Processes. Biological and Artificial Neuron. Weights, need to be determined. Biological neuron. Bias, need to be determined. Artificial neuron. Neural Networks. Learning Processes. Application of Neural Networks. Function approximation and prediction

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What Makes a Better I/O Driver Model?

What Makes a Better I/O Driver Model?. Vadim Heyfitch Cadence Design Systems, Inc. (978) 446-6455 vadimh@cadence.com. Content: What are we going to discuss?. Personal Introduction What is the intended audience? Who should care? What is an IBIS Driver model? Why verify?

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ISE480 Sequencing and Scheduling

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Statistics Quick Overview

Statistics Quick Overview. Class #2. A New Game. 1. 2. 3. Conditional Probability Examples. Given that a consumer has looked at a green shirt 5 times What is the probability that they will buy? What is the probability that they will buy if you give them 5% off?

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An Empirical Study of Optimal Noise and Runtime Distributions in Local Search

Lukas Kroc, Ashish Sabharwal, Bart Selman Cornell University, USA SAT 2010 Conference Edinburgh, July 2010. An Empirical Study of Optimal Noise and Runtime Distributions in Local Search. Presented by: Holger H. Hoos. Local Search Methods for SAT.

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SNOUT: One-Handed use of Capacitive Touch Devices

SNOUT: One-Handed use of Capacitive Touch Devices. Adam Zarek, Daniel Wigdor, Karan Singh University of Toronto. Problem. Exploring the solution space . Survey: We presented 6 scenarios where conventional finger input was not possible, seeking input alternatives.

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ISM 206 Lecture 3

ISM 206 Lecture 3. The Simplex Method. Announcements. Homework due 6pm Thursday Thursday 6pm lecture. Outline. LP so far Correction: Standard form Why we can look only at basic feasible solutions Optimality conditions The simplex method The step from one bfs to the next

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Backtracking And Branch And Bound

Backtracking And Branch And Bound. Subset & Permutation Problems. Subset problem of size n . Nonsystematic search of the space for the answer takes O(p2 n ) time, where p is the time needed to evaluate each member of the solution space. Permutation problem of size n .

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NDIA

Architecture Analysis for System-of-System (SoS) Interoperability Assessment Karen L. Lauro, Ph.D Oct 21, 2003. NDIA. Executive Summary. Describe the interoperability problem space Introduce architecture analysis

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A Blackboard Globally Recast as an Interpreter

A Blackboard Globally Recast as an Interpreter. - Jairam Kamath. A Blackboard Globally Recast as an Interpreter. The blackboard model of problem solving is a highly structured special case of opportunistic problem solving .

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5. Summary of Requirements Products

5. Summary of Requirements Products. 5.1 Requirements Definition Document 5.2 Software Requirements Specification. Point of origin elicitation activity (finding out what is needed) Purpose reveal and clarify project objectives Focus corporate level concerns communication venue. Nature

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Simplex Method for Bounded Variables

Simplex Method for Bounded Variables. Linear programming problems with lower and upper bounds Generalizing simplex algorithm for bounded variables Reference: Chapter 5 in Bazaraa, Jarvis, and Sherali. LP Problems with Bounded Variables.

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IETF #84, Vancouver, Canada OPS Area Open Session Mehmet Ersue mehmet.ersue@nsn

Management of Networks of Constrained Devices: Use Cases and Requirements draft-ersue-constrained-mgmt-01. IETF #84, Vancouver, Canada OPS Area Open Session Mehmet Ersue mehmet.ersue@nsn.com Dan Romascanu dromasca@avaya.com Juergen Schoenwaelder j.schoenwaelder@jacobs-university.de.

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CoreLogic Dorado Hybrid Cloud - SVForum

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