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Estimating profitability using a neural classification tool

Author:
Nastac, D.I.
,
Dragan, I.M.
,
Isaic-Maniu, A.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IJCNN.2014.6889909
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1084278
Keyword(s): expert systems,n learning (artificial intelligence),n pattern classification,n probability,n classification,n data streaming,n domain adaptation bounds,n ensemble systems,n learning algorithms,n multiple expert systems,n nonstationary environment,n nonstationary streaming settings,n prediction algorithm,n probability distribution,n single model selection strategy,n verification latency,n Expert systems,n Labeling,n Loss measurement,n Predi
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    Estimating profitability using a neural classification tool

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contributor authorNastac, D.I.
contributor authorDragan, I.M.
contributor authorIsaic-Maniu, A.
date accessioned2020-03-12T22:28:31Z
date available2020-03-12T22:28:31Z
date issued2014
identifier other7011474.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084278
formatgeneral
languageEnglish
publisherIEEE
titleEstimating profitability using a neural classification tool
typeConference Paper
contenttypeMetadata Only
identifier padid8221541
subject keywordsexpert systems
subject keywordsn learning (artificial intelligence)
subject keywordsn pattern classification
subject keywordsn probability
subject keywordsn classification
subject keywordsn data streaming
subject keywordsn domain adaptation bounds
subject keywordsn ensemble systems
subject keywordsn learning algorithms
subject keywordsn multiple expert systems
subject keywordsn nonstationary environment
subject keywordsn nonstationary streaming settings
subject keywordsn prediction algorithm
subject keywordsn probability distribution
subject keywordsn single model selection strategy
subject keywordsn verification latency
subject keywordsn Expert systems
subject keywordsn Labeling
subject keywordsn Loss measurement
subject keywordsn Predi
identifier doi10.1109/IJCNN.2014.6889909
journal titleeural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on
filesize214488
citations0
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