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Titlebook: Intelligent Decision Technologies 2017; Proceedings of the 9 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2018

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發(fā)表于 2025-3-23 13:04:17 | 只看該作者
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Manipulability of Majority Relation-Based Collective Decision Rulesem by their degree of manipulability, i.e. by the share of the situation in which manipulation is possible. We found that there is no rule that is best for all possible cases but some rules like Fishburn rule, Minimal undominated set and Uncovered set II are among the least manipulable ones.
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發(fā)表于 2025-3-24 00:31:47 | 只看該作者
Dispersed System with Dynamically Generated Non–disjoint Clusters – Application of Attribute Selecti of classification for the system without the use of attributes selection was compared with the results obtained for the system with attributes selection. The experiments were performed using two data sets from the UCI Repository.
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2190-3018 ing computer science with the development of artificial inte.The volume presents a collection of peer-reviewed articles from the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT-17), held in Vilamoura, Algarve, Portugal on 21–23 June 2017. The conference addressed criti
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Patients’ EEG Data Analysis via Spectrogram Image with a Convolution Neural Networkdiagnosis of brain death in clinical practice. The objective of this paper is to apply deep learning method to EEG signal analysis in order to confirm clinical brain death diagnosis. A novel approach using spectrogram images produced from EEG signals as the input dataset of Convolution Neural Networ
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