This volume records the proceedings of the Fourteenth  International Workshop on Maximum Entropy and Bayesian Methods, held  in Cambridge, England from August 1--5, 1994.   Throughout applied science, Bayesian inference is giving high quality  results augmented with reliabilities in the form of probability values  and probabilistic error bars. Maximum Entropy, with its emphasis on  optimally selected results, is an important part of this. Across wide  areas of spectroscopy and imagery, it is now realistic to generate  clear results with quantified reliability. This power is underpinned  with a foundation of solid mathematics.   The annual Maximum Entropy Workshops have become the principal focus  of developments in the field, and which capture the imaginative  research that defines the state of the art in the subject. The breadth  of application is seen in the thirty-three papers reproduced here,  which are classified into subsections on Basics, Applications, Physics  and Neural Networks.   Audience: This volume will be of interest to graduate students  and researchers whose work involves probability theory, neural  networks, spectroscopic methods, statistical thermodynamics and image  processing.

Challenges to the second law of thermodynamics theory and experiment PDF

The list of books you might like