New Learning Paradigms in Soft Computing

New Learning Paradigms in Soft Computing

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Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.... Abstract. ... sets, afterwards solved through learning, and , finally, the result of learning re-interpreted in terms of two- valued logic. ... A decade of manual preterm risk scoring tools yielded only 17-38% positive predictive value [10], thus data-driven Problems of Rule Induction from Preterm Birth Data.

Title:New Learning Paradigms in Soft Computing
Author: Lakhmi C. Jain, Janusz Kacprzyk
Publisher:Springer Science & Business Media - 2002

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