ISBN: 9780792328513
Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an in… Meer...
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ISBN: 9780792328513
Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an … Meer...
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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - gebonden uitgave, pocketboek
1996, ISBN: 0792328515
[EAN: 9780792328513], Neubuch, [PU: Springer Netherlands], INTELLIGENZ KüNSTLICHE KI - AI RADIOLOGIE STRAHLEN STATISTIK WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE ESTIMATOR ALGORITH… Meer...
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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - gebonden uitgave, pocketboek
1996, ISBN: 9780792328513
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Maximum Entropy and Bayesian Methods Santa Barbara California U.S.A. 1993 by Glenn R. Heidbreder Hardcover | Indigo Chapters - nieuw boek
ISBN: 9780792328513
Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an in… Meer...
ISBN: 9780792328513
Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an … Meer...
Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 - gebonden uitgave, pocketboek
1996
ISBN: 0792328515
[EAN: 9780792328513], Neubuch, [PU: Springer Netherlands], INTELLIGENZ KüNSTLICHE KI - AI RADIOLOGIE STRAHLEN STATISTIK WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE ESTIMATOR ALGORITH… Meer...
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Gedetalleerde informatie over het boek. - Maximum Entropy and Bayesian Methods Santa Barbara California U.S.A. 1993 by Glenn R. Heidbreder Hardcover | Indigo Chapters
EAN (ISBN-13): 9780792328513
ISBN (ISBN-10): 0792328515
Gebonden uitgave
Verschijningsjaar: 1996
Uitgever: Glenn R. Heidbreder
428 Bladzijden
Gewicht: 0,801 kg
Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2007-10-24T16:37:29+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2022-11-22T20:21:33+01:00 (Amsterdam)
ISBN/EAN: 9780792328513
ISBN - alternatieve schrijfwijzen:
0-7923-2851-5, 978-0-7923-2851-3
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: barbara, workshop 1993, proceedings international workshop, maximum entropy method, usa california, california santa way, that you santa, fundamental theories physics, maximum entropy and bayesian methods
Gegevens van de uitgever
Auteur: Glenn R. Heidbreder
Titel: Fundamental Theories of Physics; Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
Uitgeverij: Springer; Springer Netherland
414 Bladzijden
Verschijningsjaar: 1996-05-31
Dordrecht; NL
Gewicht: 1,710 kg
Taal: Engels
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
X, 414 p.
BB; Probability Theory and Stochastic Processes; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Estimator; algorithms; bayesian methods; classification; clustering; communication; genetic algorithms; microelectromechanical system (MEMS); Physics, general; Statistics, general; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Imaging / Radiology; Artificial Intelligence; Probability Theory; Physics and Astronomy; Statistics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Radiology; Artificial Intelligence; Stochastik; Mathematik und Naturwissenschaften; Bildgebende Verfahren; Künstliche Intelligenz; BC; EA
Preface. An Introduction to Model Selection Using Probability Theory as Logic; G.L. Bretthorst. Bayesian Hyperparameters. Hyperparameters: Optimize, or Integrate Out? D.J.C. MacKay. What Bayes has to Say About the Evidence Procedure; D.H. Wolpert, C.E.M. Strauss. Reconciling Bayesian and Non-Bayesian Analysis; D.H. Wolpert. Bayesian Robustness. Bayesian Robustness: A New Look from Geometry; C.C. Rodríguez. Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity; S. Basu, et al. Clustering. Tree-Structured Clustering via the Minimum Cross Entropy Principle; D. Miller, K. Rose. Inverse Problems. A Scale-Invariant Bayesian Method to Solve Linear Inverse Problems; A. Mohammad-Djafari, J. Idier. Maximum Entropy Signal Transmission; E.A. Robinson. Quantum Probability Theory. Maximum Quantum Entropy for Classical Density Functions; T.C. Wallstrom. Smoothing in Maximum Quantum Entropy; T.C. Wallstrom. Density Estimation by Maximum Quantum Entropy; R.N. Silver, et al. Philosophy. Belief and Desire; A.J.M. Garrett. Computational Issues. A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions; N. Pendock. A MathematicaTM Package for Symbolic Bayesian Calculations; P. Desmedt, I. Lemahieu. A Multicriterion Evaluation of the MEMSYS5 Program for PET; P. Desmedt, et al. Parallel Maximum Entropy Reconstruction of PET Images; K. Bastiaens, et al. Applications. Bayesian Non- Linear Modeling for the Prediction Competition; D.J.C. MacKay. Bayesian Modeling and Classification of Neural Signals; M.S. Lewicki. Estimators for the Cauchy Distribution; K.M. Hanson,D.R. Wolf. Probability Theory and Multiexponential Signals: How Accurately can the Parameters be Determined; A. Ramaswami, G.L. Bretthorst. Pixon-Based Image Reconstruction; R.C. Puetter, R.K. Piña. Super-Resolved Surface Reconstruction from Multiple Images; P. Cheeseman, et al. Bayesian Analysis of Linear Phased-Array Radar; A.G. Green, D.J.C. MacKay. Neural Network Image Deconvolution; J.E. Tansley, et al. Bayesian Resolution of Closely Spaced Objects; N.W. Schulenburg. Ultrasonic Image Improvement through the Use of Bayesian Priors which are Based on Adjacent Scanned Traces; L. Roemer, J. Zhang. Application of Maxent to Inverse Photoemission Spectroscopy; W. von der Linden, et al. An Entropy Estimator Algorithm and Telecommunications Applications; N.T. Plotkin, A.J. Wyner. A Common Bayesian Approach to Multiuser Detection and Channel Equalization; L. Mailaender, R.A. Iltis. Thermostatics in Financial Economics; M.J. Stutzer. Lessons from the New Evidence Scholarship; G.A. Vignaux, B. Robertson. How Good are a Set of Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule; D.B. Rosen. Index.Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods
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