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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Extra info for Artificial Intelligence Frontiers in Statistics: AI and statistics III
Are tried out one after the other until one of them succeeds, which will end the session. These rules typically have more than one condition. As soon as one of the conditions is found to be false the rule fails. The conditions found to be true or false are remembered by the system so the user need not answer them again. In this way a rule can succeed or fail without explicitly testing all of its conditions. Although this may be convenient in a way, it can also be distracting as the order of the questions in different sessions can vary depending on the answers given to previous questions.
This overall score is then standardized by dividing through the number of properties that have been taken into account for a certain technique. Two observations regarding this mechanism can be formulated. First, when a property contributes (positively or negatively) to the selection of a technique, it does so with the same relative importance as every other contributing property. Second, the relative importance of a contributing property varies from technique to technique, depending on the number of other contributing properties.
Research Publication GMR-7118, Mathematics Department, General Motors Research Laboratories, Warren, MI 48090-9055. E. and Fox, M. (1975) Sample Size Choice, New York: Marcel Dekker. C. (1967) The Design and Analysis of Scientific Experiments, Reading, MA: AddisonWesley. E. (1946) An approximate distribution of estimates of variance components. Biometrics Bulletin, 2, 110-114. Taguchi, G. (1987) System of Experimental Design, Dearborn, MI: American Supplier Institute. H. (1984) Artificial Intelligence, Reading, MA: Addison-Wesley.