Dynamic bayesian networks in Classification-and-Ranking Architecture of Response Generation

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Dynamic bayesian networks in Classification-and-Ranking Architecture of Response Generation

Problem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance....

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Bibliographic Details
Main Authors:	Mustapha, Aida, Sulaiman, Md. Nasir, Mahmod, Ramlan, Selamat, Mohd Hasan
Format:	Article
Language:	English English
Published:	Science Publications. 2011
Subjects:	Bayesian statistical decision theory Neural networks (Computer science) Probabilities
Online Access:	http://psasir.upm.edu.my/id/eprint/14160/ http://psasir.upm.edu.my/id/eprint/14160/1/Dynamic%20bayesian%20networks%20in%20Classification.pdf

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