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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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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.
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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.
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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.
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