Artificial Intelligence and Statistics, Volume 1A statistical view of uncertainty in expert systems. Knowledge, decision making, and uncertainty. Conceptual clustering and its relation to numerical taxonomy. Learning rates in supervised and unsupervised intelligent systems. Pinpoint good hypotheses with heuristics. Artificial intelligence approaches in statistics. REX review. Representing statistical computations: toward a deeper understanding. Student phase 1: a report on work in progress. Representing statistical knowledge for expert data analysis systems. Environments for supporting statistical strategy. Use of psychometric tools for knowledge acquisition: a case study. The analysis phase in development of knowledge based systems. Implementation and study of statistical strategy. Patterns in statisticalstrategy. A DIY guide to statistical strategy. An alphabet for statistician's expert systems. |
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Contents
1 | 7 |
2 | 8 |
A Statistical View of Uncertainty in Expert Systems | 17 |
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action additive allow answer appears applied approach appropriate argument Artificial Intelligence asked assumed assumptions belief called chapter choice clustering combination complete concepts concerning consider constructed consultation data analysis data set decision dependent described discussion distribution domain effect evidence example expert systems explanation extended fact Figure frame function give given heuristics horse human hypothesis implementation important independent inference interaction interest interpretation kind knowledge learning logical means measure methods module object observations particular perform plot points possible predictive present probability problem procedures produce questions reasoning regression represent representation rules selected shows similar simple slot specific stage statements statistical statistician strategy structure Student suggested Table task techniques theory transformations tree uncertainty values variable weight