Results 1 to 4 of 4
- Approximate Bayes model selection procedures for Markov random fields / by Seymour, Lynne.(CARDINAL)216939; Ji, Chuanshu.(CARDINAL)195643; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (pages 17-18).- Subjects: Bayesian statistical decision theory.; Markov random fields.;
- Available copies: 2 / Total copies: 3
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- On the selection of Markov random field texture models / by Ji, Chuanshu.(CARDINAL)195643; Seymour, Lynne.(CARDINAL)216939; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (pages 25-27).- Subjects: Markov processes.; Mathematical models.;
- Available copies: 2 / Total copies: 3
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- Parameter estimation and model selection in image analysis using Gibbs-Markov random fields / by Seymour, Lynne.(CARDINAL)216939; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (pages [136]-140).- Subjects: Parameter estimation.; Image processing.;
- Available copies: 2 / Total copies: 3
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- Mathematical decision making [videorecording] : predictive models and optimization. by Stevens, Scott P.,author,lecturer.; Teaching Company,publisher.(CARDINAL)349444;
Bibliographical references included in course guidebook (pages 250-255).Lecturer: Scott P. Stevens, James Madison University.Not so long ago, executives faced with complex problems made decisions based on experience, intuition, and no small measure of luck. But now there's a better way. In recent decades, mathematics and computer science have perfected formerly top-secret techniques for predicting the best possible outcomes when faced with conflicting options. This field goes by different names--analytics, operations research, linear and nonlinear programming, management science--but its purpose is simple: to apply quantitative methods to help business managers, public servants, investors, scientific researchers, and problem solvers of all kinds make better decisions.DVD.- Subjects: Video recordings.; Decision making; Mathematical optimization.;
- Available copies: 2 / Total copies: 2
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Results 1 to 4 of 4