Results 241 to 250 of about 7,645,878 (307)
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Software effort and risk assessment using decision table trained by neural networks
International Conference on Cryptography, Security and Privacy, 2015S. Abbinaya, M. S. Kumar
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Dependencies in Structures of Decision Tables
2007The presentation is focused on the introduction and the investigation of probabilistic dependencies between attribute-defined partitions of a universe in hierarchies of probabilistic decision tables learned from data. The dependencies are expressed through two measures: the probabilistic generalization of the Pawlak's measure of the dependency between ...
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Mixed feature selection in incomplete decision table
Knowledge-Based Systems, 2014Hua Zhao, K. Qin
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Rule based test case reduction technique using decision table
IEEE International Advance Computing Conference, 2014Avinash Gupta, N. Mishra, D. S. Kushwaha
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Decision tables and decision algorithms
1985We show in this note that the application of the rough set approach to decision tables analysis yields a simple method of checking whether the decision table is deterministic or not, and we also demonstrate how such an approach can be used to decision tables and decision algorithms simplification.
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An efficient software testing method by decision table verification
International journal of computer application and technology, 2013Keiji Uetsuki, T. Matsuodani, K. Tsuda
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Evaluation of the decision performance of the decision rule set from an ordered decision table
Knowledge-Based Systems, 2012Yuhua Qian +4 more
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A new rule induction method from a decision table using a statistical test
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, 2012T. Saeki, Shoutarou Mizuno, Y. Kato
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Evaluation of Probabilistic Decision Tables
2007The article presents the basic notions of the variable precision rough set model (VPRSM). The main subject of the article is the evaluation of VPRSM set approximations and corresponding probabilistic decision tables using a number of proposed probabilistic measures.
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