BLLDB - Title Entry - Martin, Jay B.: Testing the efficiency of Markov chain Monte Carlo with people using facial affect categories

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Journal article

Bibliographic description

Author		Martin, Jay B.; Griffiths, Thomas L.; Sanborn, Adam N.
Title		Testing the efficiency of Markov chain Monte Carlo with people using facial affect categories

Written in		English
Source		Cognitive science. - Hoboken, NJ : Wiley-Blackwell
Volume		36
Year		2012
Issue		1
Page		150-162

Classification
Domains / Computational linguistics / Individual aspects (computational linguistics) / Transitional probability (computational linguistics)

Domains / Computational linguistics / Artificial intelligence / Affect (artificial intelligence)

Domains / Methodology / Evaluation criterion (method.)

Domains / Nonverbal communication / Affect (nonverbal communication)

Domains / Psycholinguistics / Category (psycholing.)


Redirected from
Statistical parser; Stochastic parser; GMM; Gaussian Markov Model; Transitional probability (computational linguistics) ; Sentimentanalyse (Künstliche Intelligenz) ; Sentiment detection (artificial intelligence) ; Sentiment analysis (artificial intelligence) ; Affect (artificial intelligence) ; Validity (method.) ; Evaluation criterion (method.) ; Affect (nonverbal communication) ; Basic level concept; Category (psycholing.)

Subject terms
Monte-Carlo-Simulation