An efficient inference in meanfield approximation by adaptive manifold filtering (Machine learning & data mining)
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: 2014DOI: 10.1109/ICIAS.2014.6869459
Keyword(s): electroencephalography,n feature extraction,n medical disorders,n medical signal detection,n medical signal processing,n neurophysiology,n signal classification,n singular value decomposition,n support vector machines,n EEG signal epochs,n EEG signal feature,n EEG signal singular values,n SVM,n average sensitivity,n average specificity,n binary classification,n classification accuracy,n epileptic seizure detection,n epileptic seizure event cl
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An efficient inference in meanfield approximation by adaptive manifold filtering (Machine learning & data mining)
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| contributor author | Nasab, Sara Ershadi | |
| contributor author | Ramezanpur, Sadegh | |
| contributor author | Kasaei, Shohreh | |
| contributor author | Sanaei, Esmaeil | |
| date accessioned | 2020-03-12T22:06:44Z | |
| date available | 2020-03-12T22:06:44Z | |
| date issued | 2014 | |
| identifier other | 6993439.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1071842?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An efficient inference in meanfield approximation by adaptive manifold filtering (Machine learning & data mining) | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8207920 | |
| subject keywords | electroencephalography | |
| subject keywords | n feature extraction | |
| subject keywords | n medical disorders | |
| subject keywords | n medical signal detection | |
| subject keywords | n medical signal processing | |
| subject keywords | n neurophysiology | |
| subject keywords | n signal classification | |
| subject keywords | n singular value decomposition | |
| subject keywords | n support vector machines | |
| subject keywords | n EEG signal epochs | |
| subject keywords | n EEG signal feature | |
| subject keywords | n EEG signal singular values | |
| subject keywords | n SVM | |
| subject keywords | n average sensitivity | |
| subject keywords | n average specificity | |
| subject keywords | n binary classification | |
| subject keywords | n classification accuracy | |
| subject keywords | n epileptic seizure detection | |
| subject keywords | n epileptic seizure event cl | |
| identifier doi | 10.1109/ICIAS.2014.6869459 | |
| journal title | omputer and Knowledge Engineering (ICCKE), 2014 4th International eConference on | |
| filesize | 269074 | |
| citations | 0 |