Accession Number:

ADA310689

Title:

Proceedings of Workshop on Maximum Entropy and Bayesian Methods (13th) Held in Santa Barbara, California on August 1-5, 1993,

Descriptive Note:

Corporate Author:

CALIFORNIA UNIV SANTA BARBARA DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Personal Author(s):

Report Date:

1993-01-01

Pagination or Media Count:

410.0

Abstract:

Partial contents include 1 AN INTRODUCTION TO MODEL SELECTION USING PROBABILITY THEORY AS LOGIC 2 HYPERPARAMETERS OPTIMIZE, OR INTEGRATE OUT 3 WHAT BAYES HAS TO SAY ABOUT THE EVIDENCE PROCEDURE 4 RECONCILING BAYESIAN AND NON-BAYESIAN ANALYSIS 5 BAYESIAN ROBUSTNESS A NEW LOOK FROM GEOMETRY 6 LOCAL POSTERIOR ROBUSTNESS WITH PARAMETRIC PRIORS MAXIMUM AND AVERAGE SENSITIVITY 7 BAYESIAN ROBUSTNESS A NEW LOOK FROM GEOMETRY 8 LOCAL POSTERIOR ROBUSTNESS WITH PARAMETRIC PRIORS MAXIMUM AND AVERAGE SENSITIVITY 9 TREE-STRUCTURED CLUSTERING VIA THE MINIMUM CROSS ENTROPY PRINCIPLE 10 A SCALE-INVARIANT BAYESIAN METHOD TO SOLVE LINEAR INVERSE PROBLEMS 11 MAXIMUM ENTROPY SIGNAL TRANSMISSION 12 MAXIMUM QUANTUM ENTROPY FOR CLASSICAL DENSITY FUNCTIONS 13 SMOOTHING IN MAXIMUM QUANTUM ENTROPY 14 DENSITY ESTIMATION BY MAXIMUM QUANTUM ENTROPY 15 A BAYESIAN GENETIC ALGORITHM FOR CALCULATING MAXIMUM ENTROPY DISTRIBUTIONS 16 A MATHEMATICIAN PACKAGE FOR SYMBOLIC BAYESIAN CALCULATIONS 17 A MULTICRITERION EVALUATION OF THE MEMSYS5 PROGRAM FOR PET 18 PARALLEL MAXIMUM ENTROPY RECONSTRUCTION OF PET IMAGES 19 BAYESIAN NON-LINEAR MODELING FOR THE PREDICTION COMPETITION 20 BAYESIAN MOMODELING AND CLASSIFICATION OF NEURAL SIGNALS 21 PIXON-BASED IMAGE RECONSTRUCTION 22 SUPER-RESOLVED SURFACE RECONSTRUCTION FROM MULTIPLE IMAGES 23 BAYESIAN ANALYSIS OF LINEAR PHASED-ARRAY RADAR 24 NEURAL NETWORK IMAGE DECONVOLUTION 25 BAYESIAN RESOLUTION OF CLOSELY SPACED OBJECT 26 ULTRASONIC IMAGE IMPROVEMENT THROUGH THE USE OF BAYESIAN PRIORS WHICH ARE BASED ON ADJACENT SCANNED TRACES and 27 APPLICATION OF MAXENT TO INVERSE PHOTOEMISSION SPECTROSCOPY

Subject Categories:

  • Statistics and Probability
  • Operations Research
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE