Applying Adaptive Technology in Machine Learning
contributor author | Stange, R.L. | |
contributor author | Neto, J.J. | |
date accessioned | 2020-03-13T00:28:19Z | |
date available | 2020-03-13T00:28:19Z | |
date issued | 2014 | |
identifier issn | 1548-0992 | |
identifier other | 6948866.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1147994?locale-attribute=en&show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Applying Adaptive Technology in Machine Learning | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8331039 | |
subject keywords | adaptive systems | |
subject keywords | learning (artificial intelligence) | |
subject keywords | adaptive techniques | |
subject keywords | adaptive technology | |
subject keywords | incremental learning | |
subject keywords | information extraction | |
subject keywords | learning mechanism | |
subject keywords | learning process | |
subject keywords | machine learning | |
subject keywords | Abstracts | |
subject keywords | Adaptation models | |
subject keywords | Data mining | |
subject keywords | Irrigation | |
subject keywords | Laser radar | |
subject keywords | Learning systems | |
subject keywords | Adaptive Technology | |
subject keywords | Adaptivity | |
subject keywords | Incremental Learning | |
subject keywords | Machine Learning | |
identifier doi | 10.1109/TLA.2014.6948866 | |
journal title | Latin America Transactions, IEEE (Revista IEEE America Latina) | |
journal volume | 12 | |
journal issue | 7 | |
filesize | 915551 | |
citations | 0 |
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