Information Theory, Statistical Decision Functions, Random Processes. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 1992
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pp. 990.
Codice articolo 3594839
- Titolo
- Information Theory, Statistical Decision Functions, Random Processes
- Autore
- V?sek J.A. Kub?k Stanislav
- Editore
- Springer
- Anno di pubblicazione
- 1992
- Condizione
- New
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 0792311205
- ISBN 13
- 9780792311201
The Eleventh Prague Conference on Information Theory, Statistical Decision Functions and Random Processes was held at Prague, Czechoslovakia, August 26-31, 1990, continuing the tradition of (roughly) four-yearly conferences which began in 1957. These proceedings, which appear as two volumes, contain 14 invited papers and more than 60 of the contributed papers presented at the conference.
The authors include many leading specialists in areas such as statistics, probability theory, artificial intelligence, information theory and related subjects which involve the modelling of uncertainty of observed data.
These two volumes will be of interest to those working in the areas of statistics, artificial intelligence, game theory, computer science, information theory and expert systems.
The authors include many leading specialists in areas such as statistics, probability theory, artificial intelligence, information theory and related subjects which involve the modelling of uncertainty of observed data.
These two volumes will be of interest to those working in the areas of statistics, artificial intelligence, game theory, computer science, information theory and expert systems.
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Dalla quarta di copertina
The Eleventh Prague Conference on Information Theory, Statistical Decision Functions and Random Processes was held at Prague, Czechoslovakia, August 26-31, 1990, continuing the tradition of (roughly) four-yearly conferences which began in 1957. These proceedings, which appear as two volumes, contain 14 invited papers and more than 60 of the contributed papers presented at the conference. The authors include many leading specialists in areas such as statistics, probability theory, artificial intelligence, information theory and related subjects which involve the modelling of uncertainty of observed data. These two volumes will be of interest to those working in the areas of statistics, artificial intelligence, game theory, computer science, information theory and expert systems.
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