flex336 发表于 2025-3-28 18:35:42
A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Documentnd compare its applicability with that of the maximal association method. Both methods are based on computing co-occurrences of various sets of keywords, but it has been shown that by using the Rough Set method, rules discovered are similar to maximal association rules, and it is much simpler than tmutineer 发表于 2025-3-28 21:49:11
Simplest Rules Characterizing Classes Generated by δ-Free Setsondensed representation (δ-free sets) of data which is efficiently computed. Produced rules have a minimal body (i.e. any subset of the left-hand side of a rule does not enable to conclude on the same class value). We show a sensible sufficient condition that avoids important classification conflict联想 发表于 2025-3-28 22:59:55
Epicurean-style Learning Applied to the Classification of Gene-Expression Data, vol. 7, 2001, and Golub et al., ., vol. 286, 1999. The classification problem studied by Khan et al. is related to the diagnosis of small round blue cell tumours of childhood (SRBCT) which are difficult to classify both clinically and via routine histology. Golub et al. study acute myeloid leukemiOpponent 发表于 2025-3-29 04:56:18
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Generating Context-Based Explanationstilised in the reasoning. A solution is thus to reproduce informal knowledge relating and complementing the formal one. The term “context-based explanations” is used for explanations based on formal and informal domain knowledge. An architecture generating such context-based explanations is describe亵渎 发表于 2025-3-29 13:39:35
Facilitating DL-based Hybrid Reasoning with Inference Fusioneneous reasoners. Our approach integrates results from a DL-based system with results from a constraint solver under the direction of a global reasoning coordinator.. is performed by (i) processing heterogeneous input knowledge, producing suitable homogeneous input knowledge for each specialised rea开玩笑 发表于 2025-3-29 15:50:13
Representing and Eliciting “If … Then Rules”: An Empirical Analysisvestigates the relationship between using different, but equivalent knowledge representations for knowledge elicitation (e.g., “If — then” and “Given”), while focusing on probability knowledge. In addition, this paper investigates other issues that can influence the knowledge elicited. Tense (presen圣人 发表于 2025-3-29 19:58:18
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