Titlebook: New Learning Paradigms in Soft Computing; Lakhmi C. Jain,Janusz Kacprzyk Book 2002 Springer-Verlag Berlin Heidelberg 2002 Lazy learning.ar

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nascent

解脫

Learning and Decision-Making in the Framework of Fuzzy Lattices,aiming at a mutual cross-fertilization, the FL-framework is associated with established theories for learning and/or decision-making including probability theory, fuzzy set theory, Bayesian decision-making, theory of evidence, and adaptive resonance theory.

外觀

Digital Systems Design Through Learning,s approach supports reverse engineering in the sense that once the architecture of the Boolean circuit has been learned, one can interpret the fuzzy logic network in order to gain an insight into the nature of rules governing the data.

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食料

Granular Networks and Granular Learning,larity) lends itself to general pyramid architectures of information processing. The role of encoding and decoding mechanisms visible in this setting is also discussed in detail along with some particular solutions. Neural networks are primarily involved at the level of numeric optimization. Granula

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Toxoid-Vaccines

Using Unlabeled Data for Learning Classification Problems,unction is to find a place in the input space sparse in data points. By maximizing the quality function, we find a decision boundary between data clusters. A superiority of the proposed quality function over the other similar functions as well as the conventional clustering algorithms tested has bee

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