MILL 发表于 2025-3-30 09:25:34

Uncertaintyly in applications. Of special interest is the relation to similarity. The rough set concept provides a method of describing uncertain results in a user-controlled way. Fuzzy sets and their logical descriptions are introduced. Examples show the relations between fuzzy sets and CBR. In addition, poss

conference 发表于 2025-3-30 12:58:14

Probabilitiesenomena. Some basic knowledge about probabilities is required. We discuss that the connections between similarities and probabilities are manifold. There are two directions: Probabilities give rise to adequate similarity measures. First we introduced covariance and correlation measures and the Kullb

博爱家 发表于 2025-3-30 18:59:22

https://doi.org/10.1007/978-3-642-40167-1Artificial intelligence; Case-based reasoning (CBR); Complex knowledge; Information retrieval; Knowledge

NEX 发表于 2025-3-30 23:27:09

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abstemious 发表于 2025-3-31 04:32:21

Michael M. Richter,Rosina O. WeberFirst English-language textbook on the topic.Coauthor among the pioneers of the subject.Content thoroughly class-tested, book features chapter summaries, background notes, and exercises throughout.Inc

Armada 发表于 2025-3-31 07:27:32

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费解 发表于 2025-3-31 09:59:25

Advances in Information Technologies,ly an interest in learning about it. It e positions case-based reasoning (CBR) in its scientific, educational, and applied contexts; it is therefore crucial for anyone interested in learning or teaching CBR. It provides a very intuitive notion of the CBR reasoning paradigm that can be understood by

deceive 发表于 2025-3-31 14:23:03

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查看完整版本: Titlebook: Case-Based Reasoning; A Textbook Michael M. Richter,Rosina O. Weber Textbook 2013 Springer-Verlag GmbH Germany 2013 Artificial intelligence