المؤلفون: Fard, Pouyan R., Park, Hame, Warkentin, Andrej, Kiebel, Stefan J., Bitzer, Sebastian

Thesis Advisors: Frontiers

المصدر: Frontiers in Computational Neuroscience (2017), 11, ISSN: 1662-5188. DOI: 10.3389/fncom.2017.00029. Artikelnr.: 29

مصطلحات موضوعية: perzeptuelle Entscheidungsfindung, Drift-Diffusionsmodell, Bayes-Modelle, Parameteranpassung, exakte Eingangsmodellierung, Modellvergleich, Single-Trial-Modelle, Technische Universität Dresden, Publikationsfonds, perceptual decision making, drift-diffusion model, Bayesian models, parameter fitting, exact input modeling, model comparison, single-trial models, Publishing Fund, ddc:610, rvk:XA 10000

وصف الملف: application/pdf

الاتاحة: http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230313
http://www.qucosa.de/fileadmin/data/qucosa/documents/23031/fncom-11-00029%20%281%29.pdf

المؤلفون: Pouyan Rafiei Fard, Stefan J. Kiebel, Andrej Warkentin, Hame Park, Sebastian Bitzer

المصدر: Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, Vol 11 (2017)

مصطلحات موضوعية: parameter fitting, Computer science, Bayesian probability, Neuroscience (miscellaneous), Bayesian inference, Machine learning, computer.software_genre, single-trial models, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Influence diagram, Bayesian hierarchical modeling, 0501 psychology and cognitive sciences, ddc:610, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Bayesian average, Bayesian models, Original Research, business.industry, 05 social sciences, Variable-order Bayesian network, Bayesian statistics, perzeptuelle Entscheidungsfindung, Drift-Diffusionsmodell, Bayes-Modelle, Parameteranpassung, exakte Eingangsmodellierung, Modellvergleich, Single-Trial-Modelle, Technische Universität Dresden, Publikationsfonds, Perceptual decision, drift-diffusion model, model comparison, perceptual decision making, drift-diffusion model, Bayesian models, parameter fitting, exact input modeling, model comparison, single-trial models, Technische Universität Dresden, Publishing Fund, Artificial intelligence, exact input modeling, business, computer, 030217 neurology & neurosurgery, perceptual decision making, Neuroscience

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f6620bc52a7ffc29e16d7d42143fcf8
https://tud.qucosa.de/id/qucosa:30621

المؤلفون: Jähnichen, Patrick

Thesis Advisors: Heyer, Gerhard, Ahmad, Khurshid, Universität Leipzig

مصطلحات موضوعية: info:eu-repo/classification/ddc/500, ddc:500, Topic Modelle, maschinelles Lernen, Bayes Modelle, Automatische Sprachverarbeitung, Topic Models, Machine Learning, Bayesian Models, Time Series Analysis, Natural Language Processing

الاتاحة: https://ul.qucosa.de/id/qucosa%3A14614
https://ul.qucosa.de/api/qucosa%3A14614/attachment/ATT-0/

المؤلفون: Jähnichen, Patrick

المساهمون: Heyer, Gerhard, Ahmad, Khurshid, Universität Leipzig

مصطلحات موضوعية: Topic Modelle, maschinelles Lernen, Bayes Modelle, Automatische Sprachverarbeitung, ddc:500, Topic Models, Machine Learning, Bayesian Models, Time Series Analysis, Natural Language Processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______4178::aa5100b98a43bb884ac671b3bf54b524
https://ul.qucosa.de/id/qucosa:14614

المؤلفون: Heyer, Gerhard, Ahmad, Khurshid, Jähnichen, Patrick

مصطلحات موضوعية: Automatische Sprachverarbeitung, Time Series Analysis, Bayes Modelle, Natural Language Processing, Topic Models, Machine Learning, maschinelles Lernen, Topic Modelle, Bayesian Models, hist, lang

Relation: https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa-200796

الاتاحة: https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa-200796

المؤلفون: Ahmad, Khurshid, Universität Leipzig, Jähnichen, Patrick

مصطلحات الفهرس: info:eu-repo/classification/ddc/500, ddc:500, Topic Modelle, maschinelles Lernen, Bayes Modelle, Automatische Sprachverarbeitung, Topic Models, Machine Learning, Bayesian Models, Time Series Analysis, Natural Language Processing, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text