AI and computer power
Author(s)
Bibliographic Information
AI and computer power
（UNICOM applied information technology, 17）
Chapman & Hall, 1994
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Note
"The impact on statistics." -- cover
Includes references
Paper from a conference held Mar. 13-14, 1991, in London
Description and Table of Contents
Description
Recent developments in artificial intelligence and other areas of computer science have given statisticians access to powerful techniques for data analysis. The contributors to this book show how computer power can best be used in statistical applications. A wide variety of topics are covered, from discussion of uncertainty representation to the development and use of genetic algorithms and more traditional artificial intelligence techniques. This book should be of interest to statisticians and computer scientists working with complex statistical problems which require enhanced computer power to reach a solution, and to statisticians and computer scientists interested in the use of AI in statistics.
Table of Contents
- AI and simulation, Ray Paul
- new concepts in data analysis - modal objects for knowledge analysis, E. Diday
- simulation of uncertainty - decision support in complex incompletely defined environments, Michael con Rimscha
- statistics and computing - the promise and the risk, D. Hand
- are there any lessons to be learnt from the building of GLIMPSE?, Carl O'Brien
- handling imprecisely-known conditional probabilities, S. Amarger et al
- combining symbolic and numerical methods for reasoning under uncertainty, Paul Krause and John Fox
- computationally intensive methods in the design of experiments, A. Atkinson
- FRIL - a support logic programming system, J. Baldwin et al
- computational models of diagnostic reasoning, A. Gammerman
- a general numerical approach to the benchmark problems in defeasible reasoning, S. Roehrig
- on the path to practical probabilistic reasoning, S. Kimbrough and F. Roehrig.
by "Nielsen BookData"