Titlebook: Computational Discovery of Scientific Knowledge; Introduction, Techni Sašo Džeroski,Ljupčo Todorovski Book 2007 Springer-Verlag Berlin Heid

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0302-9743 es and applications in environmental and life sciences. The 15 articles presented are partly inspired by the contributions of the International Symposium on Com978-3-540-73919-7978-3-540-73920-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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EXUDE

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Book 2007 computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences. The 15 articles presented are partly inspired by the contributions of the International Symposium on Com

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Computational Discovery of Scientific Knowledgewhat scientific discovery is and also place it in the broader context of the scientific enterprise. We discuss the components of scientific behavior, that is, the knowledge structures that arise in science and the processes that manipulate them. We give a brief historical review of research in compu

sphincter

Communicable Knowledge in Automated System Identificationexternal observations of a target system’s behavior. . has several characteristics in common with programs from the fields of machine learning and computational scientific discovery. However, since . is intended to be an engineer’s tool, it makes different choices with regard to the tradeoff between

Generator

Incorporating Engineering Formalisms into Automated Model Buildersincorporate varying levels of domain knowledge and to tailor the search space and the reasoning methods accordingly. In particular, we introduce a new structure for automated model building known as a . which, when instantiated with domain-specific components, tailors the space of candidate models t

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