Splitting methods in control
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Year
: 2014DOI: 10.1109/APCASE.2014.6924487
Keyword(s): Android (operating system),acoustic signal detection,decision trees,hearing,hearing aids,learning (artificial intelligence),pattern classification,regression analysis,AdaBoostM1 classifier,REPTree weaklearner,android operating system,audio detection,boosting method,decision tree,hearing impaired people,information gain,machine learning,reduced error pruning,regression tree,sound detection application,Accuracy,Auditory system,Databases,Feature extraction,Smart phones,Test
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Splitting methods in control
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| contributor author | Stathopoulos, G. , Szucs, A. , Ye Pu , Jones, C.N. | |
| date accessioned | 2020-03-12T20:18:34Z | |
| date available | 2020-03-12T20:18:34Z | |
| date issued | 2014 | |
| identifier other | 6862635.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1009752?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Splitting methods in control | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8131955 | |
| subject keywords | Android (operating system) | |
| subject keywords | acoustic signal detection | |
| subject keywords | decision trees | |
| subject keywords | hearing | |
| subject keywords | hearing aids | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | pattern classification | |
| subject keywords | regression analysis | |
| subject keywords | AdaBoostM1 classifier | |
| subject keywords | REPTree weaklearner | |
| subject keywords | android operating system | |
| subject keywords | audio detection | |
| subject keywords | boosting method | |
| subject keywords | decision tree | |
| subject keywords | hearing impaired people | |
| subject keywords | information gain | |
| subject keywords | machine learning | |
| subject keywords | reduced error pruning | |
| subject keywords | regression tree | |
| subject keywords | sound detection application | |
| subject keywords | Accuracy | |
| subject keywords | Auditory system | |
| subject keywords | Databases | |
| subject keywords | Feature extraction | |
| subject keywords | Smart phones | |
| subject keywords | Test | |
| identifier doi | 10.1109/APCASE.2014.6924487 | |
| journal title | ontrol Conference (ECC), 2014 European | |
| filesize | 187692 | |
| citations | 0 |