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Titlebook: Artificial Intelligence and Soft Computing; 15th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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21#
發(fā)表于 2025-3-25 05:22:02 | 只看該作者
,?sophagus, Magen und Duodenum,stead of accepting its own prediction. This interactive classifier only knows with certainty the labels provided by the oracle. Our proposal is to use this information to dynamically improve the behavior of the classifier, either increasing its accuracy when it is being used autonomously or reducing
22#
發(fā)表于 2025-3-25 11:27:51 | 只看該作者
23#
發(fā)表于 2025-3-25 13:27:11 | 只看該作者
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發(fā)表于 2025-3-25 19:10:17 | 只看該作者
25#
發(fā)表于 2025-3-26 00:03:18 | 只看該作者
Leber, Gallenblase und Gallenwege, assumed to be the set of deterministic inputs, ., . is the set of probabilistic outputs, and . is a measurement noise with zero mean and bounded variance. .(.) is a completely unknown function. The possible solution of finding unknown function is to apply the algorithms based on the Parzen kernel [
26#
發(fā)表于 2025-3-26 01:39:41 | 只看該作者
Fachausdrücke der physikalischen Chemieerion is proposed which combines two criteria established for two different split measure functions: the Gini gain and the split measure based on the misclassification error. The hybrid splitting criterion reveals advantages of its both component. The online decision tree with hybrid criterion demon
27#
發(fā)表于 2025-3-26 04:27:58 | 只看該作者
28#
發(fā)表于 2025-3-26 11:26:52 | 只看該作者
https://doi.org/10.1007/978-3-662-42470-4ant role in multiple hypothesis solar event tracking. Many features for this task are produced when images from multiple wavelengths are used and compounded when multiple image parameters are extracted from each of these observations coming from NASA’s Solar Dynamics Observatory. Furthermore, each d
29#
發(fā)表于 2025-3-26 16:38:40 | 只看該作者
30#
發(fā)表于 2025-3-26 19:22:31 | 只看該作者
Fachbegriffe Finanz- und Rechnungsweseng accuracy, enjoys significant popularity and is often used by researchers. The proposed modification involves using an additional component in the original index. This approach improves performance of the index and provides better results during a clustering process, especially when changes of clus
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