Titlebook: Emerging Paradigms in Machine Learning; Sheela Ramanna,Lakhmi C Jain,Robert J. Howlett Book 2013 Springer-Verlag Berlin Heidelberg 2013 Em

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GORGE

Indigence

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Needs Assessment in Public Health in the multi-dimensional feature space of the data. However, while such an information abstraction lends itself to easy interpretation it leaves open the question whether the granules represent well the original data..In this chapter we discuss an approach to optimised information abstraction, whic

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Neem de regie over je depressie” conditions, a special case of “do-not care” conditions called restricted “do-not care” conditions, or as attribute-concept values. In general, incomplete data are described by characteristic relations, a generalization of the indiscernibility relation. A methodology of mining incomplete data is pr

Panacea

Het dier met het grootste leervermogen,ning methods to help solving a variety of problems in many different domains. BNs (and BCs) can be considered a probabilistic graphical language suitable for inducing models from data aiming at knowledge representation and reasoning about data domains. The main goal of this chapter is the empirical

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BOGUS

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https://doi.org/10.1007/978-3-322-97785-4h allows agents to construct new rules based on knowledge and examples, which are available to different memebrs of the system. The learning process is performed in two phases – first locally by each agent and then on the global level while reasoning.

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