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A Statistical View Of Uncertainty In Expert Systems / David J. Spiegelhalter -- Knowledge, Decision Making, And Uncertainty / John Fox -- Conceptual Clustering And Its Relation To Numerical Taxonomy / Douglas Fisher, Pat Langley -- Learning Rates In Supervised And Unsupervised Intelligent Systems / Stephen C. Hora -- Pinpointing Good Hypotheses With Heuristics / Steven Salzberg -- Artificial Intelligence Approaches In Statistics / Robert I. Phelps, P.b. Musgrove -- Rex Review / William A. Gale -- Representing Statistical Computations: Toward A Deeper Understanding / Thomas Ellman -- Student Phase 1: A Report On Work In Progress / William A. Gale -- Representing Statistical Knowledge For Expert Data Analysis Systems / Ronald A. Thisted. Environments For Supporting Statistical Strategy / Peter J. Huber -- Use Of Psychometric Tools For Knowledge Acquisition: A Case Study / Keith A. Butler, James E. Corter -- The Analysis Phase In Development Of Knowledge Based Systems / Annie G. Brooking -- Implementation And Study Of Statistical Strategy / R. Wayne Oldford, Stephen C. Peters -- Patterns In Statistical Strategy / David J. Hand -- A Diy Guide To Statistical Strategy / Daryl Pregibon -- An Alphabet For Statisticians' Expert Systems / John Turkey. Edited By William A. Gale. Papers Prepared For The Workshop On Artificial Intelligence And Statistics, Held In April 1985, In Princeton, N.j., And Sponsored By At&t Bell Laboratories. Spine Title: Artificial Intelligence & Statistics. Includes Bibliographies And Index.
This volume investigates the intersection of artificial intelligence and statistical methodology, specifically focusing on how expert systems can automate and enhance complex data analysis. The collection, edited by William A. Gale, compiles papers from a 1985 workshop sponsored by AT&T Bell Laboratories, bringing together researchers to address the challenges of representing statistical knowledge within computational frameworks. The authors explore how heuristics, conceptual clustering, and machine learning can be applied to statistical strategy to improve decision-making processes.
What You Will Find
Experts recognize this collection as a foundational text that documents the early integration of AI techniques into statistical computing. Readers frequently note the academic density of the prose, which reflects the specialized nature of the research presented during the 1985 workshop.
Page Count:
288
Publication Date:
1986-01-01
Publisher:
Addison-Wesley Longman, Incorporated
ISBN-10:
0201115689
ISBN-13:
9780201115680
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