The design of high-frequency CIC-filters according to the 0.18 µm technology
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سال
: 2014شناسه الکترونیک: 10.1109/CIS.2014.108
کلیدواژه(گان): feature selection,pattern classification,base classifiers,classification,classifier ensemble,feature selection,feature-prior FS-IS hybrid ensemble method,feature-prior hybrid ensemble method,instance selection,instance-prior method,multiple classifier systems,training data,Accuracy,Bagging,Classification algorithms,Diversity reception,Iris recognition,Support vector machines,Training,Instance selection,classifier ensemble,feature selection,multiple classifier systems
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The design of high-frequency CIC-filters according to the 0.18 µm technology
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| contributor author | Sedinin, V. , Mamychev, V. , Glukhov, A. | |
| date accessioned | 2020-03-12T20:40:02Z | |
| date available | 2020-03-12T20:40:02Z | |
| date issued | 2014 | |
| identifier other | 6882504.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1021196 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | The design of high-frequency CIC-filters according to the 0.18 µm technology | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8145818 | |
| subject keywords | feature selection | |
| subject keywords | pattern classification | |
| subject keywords | base classifiers | |
| subject keywords | classification | |
| subject keywords | classifier ensemble | |
| subject keywords | feature selection | |
| subject keywords | feature-prior FS-IS hybrid ensemble method | |
| subject keywords | feature-prior hybrid ensemble method | |
| subject keywords | instance selection | |
| subject keywords | instance-prior method | |
| subject keywords | multiple classifier systems | |
| subject keywords | training data | |
| subject keywords | Accuracy | |
| subject keywords | Bagging | |
| subject keywords | Classification algorithms | |
| subject keywords | Diversity reception | |
| subject keywords | Iris recognition | |
| subject keywords | Support vector machines | |
| subject keywords | Training | |
| subject keywords | Instance selection | |
| subject keywords | classifier ensemble | |
| subject keywords | feature selection | |
| subject keywords | multiple classifier systems | |
| identifier doi | 10.1109/CIS.2014.108 | |
| journal title | icro/Nanotechnologies and Electron Devices (EDM), 2014 15th International Conference of Young Specia | |
| filesize | 391608 | |
| citations | 0 |