An improved through line de-embedding method with even-odd mode measurement
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سال
: 2014شناسه الکترونیک: 10.1109/ICInfA.2014.6932783
کلیدواژه(گان): artificial immune systems,computational linguistics,learning (artificial intelligence),multi-agent systems,natural language processing,word processing,MWAALM,Penn Chinese Treebank 5.1,artificial immune system,artificial intelligence,computational linguistics,continuous learning,dependency syntax,dependent properties,head properties,lymphocyte-style word representation,multiword-agent autonomous learning model,representation word context,Cloning,Context,Feature extraction,Haf
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آمار بازدید
An improved through line de-embedding method with even-odd mode measurement
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| contributor author | Oupeng Li | |
| contributor author | Wei Cheng | |
| contributor author | Lei Wang | |
| contributor author | Haiyan Lu | |
| contributor author | Ruimin Xu | |
| date accessioned | 2020-03-12T21:17:52Z | |
| date available | 2020-03-12T21:17:52Z | |
| date issued | 2014 | |
| identifier other | 6933256.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1043926 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An improved through line de-embedding method with even-odd mode measurement | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8172091 | |
| subject keywords | artificial immune systems | |
| subject keywords | computational linguistics | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | multi-agent systems | |
| subject keywords | natural language processing | |
| subject keywords | word processing | |
| subject keywords | MWAALM | |
| subject keywords | Penn Chinese Treebank 5.1 | |
| subject keywords | artificial immune system | |
| subject keywords | artificial intelligence | |
| subject keywords | computational linguistics | |
| subject keywords | continuous learning | |
| subject keywords | dependency syntax | |
| subject keywords | dependent properties | |
| subject keywords | head properties | |
| subject keywords | lymphocyte-style word representation | |
| subject keywords | multiword-agent autonomous learning model | |
| subject keywords | representation word context | |
| subject keywords | Cloning | |
| subject keywords | Context | |
| subject keywords | Feature extraction | |
| subject keywords | Haf | |
| identifier doi | 10.1109/ICInfA.2014.6932783 | |
| journal title | adio-Frequency Integration Technology (RFIT), 2014 IEEE International Symposium on | |
| filesize | 244047 | |
| citations | 0 |