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Learning from demonstrations with partially observable task parameters

contributor authorAlizadeh, T. , Calinon, S. , Caldwell, D.G.
date accessioned2020-03-12T20:48:27Z
date available2020-03-12T20:48:27Z
date issued2014
identifier other6907335.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1026200?show=full
formatgeneral
languageEnglish
publisherIEEE
titleLearning from demonstrations with partially observable task parameters
typeConference Paper
contenttypeMetadata Only
identifier padid8151221
subject keywordsbiomedical electrodes
subject keywordselectroencephalography
subject keywordsfeature extraction
subject keywordslearning (artificial intelligence)
subject keywordsmedical disorders
subject keywordsmedical signal processing
subject keywordsautomated localization
subject keywordsdepth electrodes
subject keywordsepileptic patient
subject keywordsfeature extraction
subject keywordsiEEG
subject keywordsinterictal intracranial EEG
subject keywordsseizure focus
subject keywordssupervised learning paradigm
subject keywordsEducational institutions
subject keywordsElectrodes
subject keywordsElectroencephalography
subject keywordsEpilepsy
subject keywordsHafnium compounds
subject keywordsOscillators
subject keywordsSensitivity
identifier doi10.1109/EMBC.2014.6944609
journal titleobotics and Automation (ICRA), 2014 IEEE International Conference on
filesize1230082
citations0


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