Titlebook: Rough Sets and Intelligent Systems Paradigms; International Confer Marzena Kryszkiewicz,James F. Peters,Andrzej Skowr Conference proceeding

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https://doi.org/10.1007/978-3-540-73451-2Spam; adaptive learning; algorithmic learning; approximation; association mining; attribute reducts; bioin

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Rough Sets and Intelligent Systems Paradigms978-3-540-73451-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Dominance-Based Rough Set Approach to Reasoning About Ordinal Data property, becomes finer and permits to express the presence of a property to certain degree. This observation leads to very natural fuzzy generalization of the rough set concept via DRSA. It exploits only ordinal properties of membership degrees and monotonic relationships between them, without usi

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Toward Approximate Adaptive Learningping time strategy to mark the end of an episode. Twiddling amounts to adjusting what one does to achieve a better result. This becomes more apparent in approximate RT adaptive learning introduced in this article, where a record of observed behaviour patterns during each episode recorded in an ethog