ISBN: 9789400901070
This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen year… Meer...
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ISBN: 9789400901070
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ISBN: 9789400901070
This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen year… Meer...
ISBN: 9789400901070
Mathematics; Probability Theory and Stochastic Processes; Complex Systems; Analytical Chemistry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Stati… Meer...
Maximum Entropy and Bayesian Methods : Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods - nieuw boek
ISBN: 9789400901070
Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, Cambridge, England, 1994 ; PDF \ J. Tiago de Oliveira; Scientific, Technical and Medical > M… Meer...
2012, ISBN: 9789400901070
Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, eBooks, eBook Download (PDF), [PU: Springer Netherlands], Springer N… Meer...
2012, ISBN: 9789400901070
Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, eBook Download (PDF), eBooks, [PU: Springer]
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Gedetalleerde informatie over het boek. - Maximum Entropy and Bayesian Methods
EAN (ISBN-13): 9789400901070
Verschijningsjaar: 2012
Uitgever: Springer Netherlands
Boek bevindt zich in het datenbestand sinds 2016-08-24T20:57:25+02:00 (Amsterdam)
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ISBN/EAN: 9789400901070
ISBN - alternatieve schrijfwijzen:
978-94-009-0107-0
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: maximum entropy and bayesian methods
Gegevens van de uitgever
Auteur: John Skilling; Sibusio Sibisi
Titel: Fundamental Theories of Physics; Maximum Entropy and Bayesian Methods - Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods
Uitgeverij: Springer; Springer Netherland
323 Bladzijden
Verschijningsjaar: 2012-12-06
Dordrecht; NL
Taal: Engels
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
XI, 323 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Markov model; Probability theory; classification; image processing; maximum entropy method; neural networks; thermodynamics; C; Probability Theory; Complex Systems; Analytical Chemistry; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Theoretical, Mathematical and Computational Physics; Physics and Astronomy; Stochastik; Kybernetik und Systemtheorie; Analytische Chemie; Mathematische Physik; BB
Applications.- Flow and diffusion images from Bayesian spectral analysis of motion-encoded NMR data.- Bayesian estimation of MR images from incomplete raw data.- Quantified maximum entropy and biological EPR spectra.- The vital importance of prior information for the decomposition of ion scattering spectroscopy data.- Bayesian consideration of the tomography problem.- Using MaxEnt to determine nuclear level densities.- A fresh look at model selection in inverse scattering.- The maximum entropy method in small-angle scattering.- Maximum entropy multi-resolution EM tomography by adaptive subdivision.- High resolution image construction from IRAS survey — parallelization and artifact suppression.- Maximum entropy performance analysis of spread-spectrum multiple-access communications.- Noise analysis in optical fibre sensing: A study using the maximum entropy method.- Algorithms.- AutoClass — a Bayesian approach to classification.- Evolution reviews of BayesCalc, a MATHEMATICA package for doing Bayesian calculations.- Bayesian inference for basis function selection in nonlinear system identification using genetic algorithms.- The meaning of the word “Probability”.- The hard truth.- Are the samples doped — If so, how much?.- Confidence intervals from one observation.- Hypothesis refinement.- Bayesian density estimation.- Scale-invariant Markov models for Bayesian inversion of linear inverse problems.- Foundations: Indifference, independence and MaxEnt.- The maximum entropy on the mean method, noise and sensitivity.- The maximum entropy algorithm applied to the two-dimensional random packing problem.- Neural Networks.- Bayesian comparison of models for images.- Interpolation models with multiple hyperparameters.- Density networks and their application to proteinmodelling.- The cluster expansion: A hierarchical density model.- The partitioned mixture distribution: Multiple overlapping density models.- Physics.- Generating functional for the BBGKY hierarchy and the N-identical-body problem.- Entropies for continua: Fluids and magnetofluids.- A logical foundation for real thermodynamics.Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
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