Titlebook: Soft Computing for Knowledge Discovery; Introducing Cartesia James G. Shanahan Book 2000 Springer Science+Business Media New York 2000 Baye

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Learning Cartesian Granule Feature Modelse in terms of a network of low-order semantically related features. Both classification and prediction problems can be modelled quite naturally in terms of these models. This chapter describes a constructive induction algorithm, G_DACG (Genetic Discovery of Additive Cartesian Granule feature models)

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Analysis of Cartesian Granule Feature Models. G_DACG automatically determines the language (Cartesian granule features and linguistic partitions) and parameters of a Cartesian granule feature model. Here, for the purposes of illustration and nanlysis, this approach is appplied in the context of artificial problems in both the classification a

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0893-3405 perform a task autonomously or assist a human inperforming a task more efficiently.. .Soft Computing for Knowledge Discovery. provides a self-containedand systematic exposition of the key theory and algorithms that formthe core of knowledge discovery from a soft computing perspective. Itfocuses on k

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alysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac­ tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that s

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James G. Shanahanalysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac­ tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that s

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James G. Shanahanysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thougtit that such

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James G. Shanahan Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thougtit