Titlebook: Artificial Intelligence: Methodology, Systems, and Applications; 13th International C Danail Dochev,Marco Pistore,Paolo Traverso Conference

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Histology of Veins and Thrombosis,ofit is explicitly expressed in the minimised objective function. The algorithm uses only one dynamic neural model, which is linearised on-line. As a result, an easy to solve on-line quadratic programming problem is formulated. In contrast to the classical multilayer control system structure, the ne

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https://doi.org/10.1007/978-1-4471-3473-2e there is a time bound for classification. Nearest prototype approaches can alleviate this problem, by summarizing the data set in a reduced set of prototypes. In this paper we present an algorithm to build Relational Nearest Prototype Classifiers (.). When compared with RIBL approaches, the algori

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Histology of Veins and Thrombosis,nd initialisation of the Q-table. Most of the empirical analyses of eligibility traces in the literature have focused mainly on the step-penalty reward. We analyse two general types of rewards (final goal and step-penalty rewards) and show that learning with long traces, i.e., with high values of .,

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H. Drepper,H. Tilkorn,M. Hundeikerthat the polyvalent logics based on the truth functionality principle are not in the Boolean frame. Interpolative Boolean logic (IBL) is a real-valued propositional logic that is in Boolean frame. The term “interpolative” cames from the fact that semantics of IBL is based on the notion of a generali

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