Semi-supervised support vector machines regression
Publisher:
Year
: 2014DOI: 10.1109/ICMLA.2014.19
Keyword(s): Classification algorithms,Data collection,Prediction algorithms,Support vector machine classification,Text categorization,Training data,Information Need Modeling,Positive Unlabeled Learning,Search by Multiple Examples,Transductive Learning
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Semi-supervised support vector machines regression
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| contributor author | Dingzhen Zhu | |
| contributor author | Xin Wang | |
| contributor author | Heng Chen | |
| contributor author | Rui Wu | |
| date accessioned | 2020-03-12T21:15:24Z | |
| date available | 2020-03-12T21:15:24Z | |
| date issued | 2014 | |
| identifier other | 6931500.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1042465?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Semi-supervised support vector machines regression | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8170163 | |
| subject keywords | Classification algorithms | |
| subject keywords | Data collection | |
| subject keywords | Prediction algorithms | |
| subject keywords | Support vector machine classification | |
| subject keywords | Text categorization | |
| subject keywords | Training data | |
| subject keywords | Information Need Modeling | |
| subject keywords | Positive Unlabeled Learning | |
| subject keywords | Search by Multiple Examples | |
| subject keywords | Transductive Learning | |
| identifier doi | 10.1109/ICMLA.2014.19 | |
| journal title | ndustrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on | |
| filesize | 174417 | |
| citations | 0 |