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Titlebook: Artificial Intelligence and Soft Computing; 11th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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樓主: Maculate
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發(fā)表于 2025-3-23 12:38:09 | 只看該作者
12#
發(fā)表于 2025-3-23 15:29:53 | 只看該作者
Sample Complexity of Linear Learning Machines with Different Restrictions over Weightsat, sample complexity can be quite different even for learning machines having the same VC-dimension. Moreover, independently from the capacity of a learning machine, the distribution of data is also significant. Experimental results are compared with known theoretical results for sample complexity and generalization bounds.
13#
發(fā)表于 2025-3-23 18:18:41 | 只看該作者
14#
發(fā)表于 2025-3-23 23:19:03 | 只看該作者
15#
發(fā)表于 2025-3-24 02:25:07 | 只看該作者
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發(fā)表于 2025-3-24 06:51:37 | 只看該作者
New Specifics for a Hierarchial Estimator Meta-algorithmlled training set division and a competence function creation method. The included experimental results show improvement over the methods described in [1]. A short recollection of Hierarchical Estimator is also included.
17#
發(fā)表于 2025-3-24 13:47:34 | 只看該作者
On Pre-processing Algorithms for Data Streampose of this paper is to propose a pre-processing method for clustering algorithms. Experimental results show that proposed method is appropriate to handle noisy data and can accelerate processing time.
18#
發(fā)表于 2025-3-24 17:49:08 | 只看該作者
19#
發(fā)表于 2025-3-24 20:41:46 | 只看該作者
20#
發(fā)表于 2025-3-25 00:46:49 | 只看該作者
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