TY - GEN
T1 - Parameter learning in Bayesian network using semantic constraints of conversational feedback
AU - Lee, Seung Hyun
AU - Lim, Sungsoo
AU - Cho, Sung Bae
PY - 2010
Y1 - 2010
N2 - Many learning techniques of Bayesian network have been developed for adaptation to user or environment. However, it seems several drawbacks still exists in conventional learning approach; the hardness of collecting log data, the inherent ambiguity in recognizing and reflecting implicit user' s intention, and difficulties in extracting relations between data or definite rules. In this paper, we propose a method for parameter learning in Bayesian network using semantic constraints of conversational feedback to overcome these limitations. Production rules extracted from users' conversational feedback are used in parameter learning of Bayesian network. A comparison test with conventional approaches in conducted to verify the usefulness of the proposed method.
AB - Many learning techniques of Bayesian network have been developed for adaptation to user or environment. However, it seems several drawbacks still exists in conventional learning approach; the hardness of collecting log data, the inherent ambiguity in recognizing and reflecting implicit user' s intention, and difficulties in extracting relations between data or definite rules. In this paper, we propose a method for parameter learning in Bayesian network using semantic constraints of conversational feedback to overcome these limitations. Production rules extracted from users' conversational feedback are used in parameter learning of Bayesian network. A comparison test with conventional approaches in conducted to verify the usefulness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=78049235194&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78049235194&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15246-7_43
DO - 10.1007/978-3-642-15246-7_43
M3 - Conference contribution
AN - SCOPUS:78049235194
SN - 3642152457
SN - 9783642152450
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 467
EP - 476
BT - PRICAI 2010
T2 - 11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010
Y2 - 30 August 2010 through 2 September 2010
ER -