Artificial Intelligence Frontiers in Statistics: AI and - download pdf or read online

By T. J. Lorenzen, L. T. Truss, W. S. Spangler, W. T. Corpus, A. B. Parker (auth.), D. J. Hand (eds.)

ISBN-10: 0412407108

ISBN-13: 9780412407109

ISBN-10: 1489945377

ISBN-13: 9781489945372

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Extra info for Artificial Intelligence Frontiers in Statistics: AI and statistics III

Sample text

We have stripped this knowledge base, removing all SPRING-STAT specific entries and the items relating to time-series analysis, retaining only the knowledge on bivariate, multivariate and non-parametric statistics. The Original 48 rules and 92 conditions were thus reduced to 22 rules and 35 conditions. 1. The first three columns are rules, while the conditions associated with those rules are in the last column. The combination of the rules and the conditions not only represents SPRINGEX's knowledge but also its strategy.

The columns contain the different properties of the techniques. These are the questions which the user has to answer. A + entry in the table means that the presence of this property is favourable for the selection of the corresponding hypothesis test. A - sign signifies that the presence of that property will contribute negatively to the selection of the corresponding technique. A blank entry in the table means that the presence or absence of a certain property is irrelevant for the selection of the corresponding hypothesis test.

This knowledge will be encoded within the KBFE. The KBFE itself will therefore act as a kind of intelligent assistant offering strategic and context-sensitive help, while gUiding the end user around the complexities of the underlying software. THE FOCUS ARCHITECTURE The ability to separate the user interface from its underlying application subsystem has been a subject of investigation for over 20 years. One very important event in the development of separable user-interface architectures was the workshop held in 1983 in Seeheim (Pfaff, 1985).

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Artificial Intelligence Frontiers in Statistics: AI and statistics III by T. J. Lorenzen, L. T. Truss, W. S. Spangler, W. T. Corpus, A. B. Parker (auth.), D. J. Hand (eds.)


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