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Machine learning / Networks / Bayesian network / Graphical model / Statistical classification / Bayesian inference / Algorithm / Statistics / Bayesian statistics / Statistical models


Modeling the Cognitive Task Load and Performance of Naval Operators Mark A. Neerincx1,2, Stefan Kennedie1,5, Marc Grootjen2,3, Franc Grootjen4,5 1 TNO Human Factors, Kampweg 5, 3769 ZG Soesterberg, The Netherlands
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Document Date: 2009-07-12 08:44:34

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File Size: 343,66 KB

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City

Berlin / San Francisco / Nijmegen / Cambridge / Mahwah / Wiley / Paris / Arlington / /

Company

Lawrence Erlbaum Associates / Bayesian Networks / MIT Press / Strategic Analysis Inc. / /

Country

France / Netherlands / /

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Facility

The Netherlands Delft University of Technology / Radboud University / Transportation College of Rotterdam / /

IndustryTerm

parameter learning algorithm / high-tech / information processing / affective computing techniques / activity monitoring tool / performance testing algorithm / high-tech sailing ship / maximum cognitive processing speed / structure learning algorithms / connected network / /

OperatingSystem

ADIOS / /

Organization

Congress / Donders Centre for Cognition / Directorate Materiel Royal Netherlands Navy / MIT / PC GTT / Defense Materiel Organization / Delft University of Technology / MBO Shipping & Transportation College of Rotterdam / /

Person

Mark A. Neerincx / Stefan Kennedie / L.M. Reeves / Duda / Marc Grootjen / Morgan Kaufmann / /

Position

model / methods and examples / Assistant / /

Product

GeNIe 2.01 / Netica / /

ProvinceOrState

Virginia / New York / /

Technology

three algorithms / four structure learning algorithms / conditional probability tables using Netica-J’s2 parameter learning algorithm / artificial intelligence / three algorithm / performance testing algorithm / PC algorithm / four algorithms / NBN algorithm / /

URL

http /

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