Advances in Combining Intelligent Methods

Involves the combination of intelligent methods either based on first principles or in the context of specific applications Includes both theory and practical applications Presents approaches covering different intelligent methods and technologies, such as model-based diagnosis, linear optimization, probabilistic reasoning, uncertain reasoning, clustering methods, neuro-symbolic representation, pattern recognition etc Includes supplementary material: sn.pub/extras

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