Adaptive Sampling Techniques for LargeScale Probabiligistic Graphical Models
(2002. 9)
Participants
: B.T. Zhang, J.S. Yang, J.W. Lee, S.B. Park, J.H. Chang, K.B. Hwang, J.M. Oh, D.Y.Cho, S.Y. Shin, S.E. Lee, J.S. Kim, S. Kim, J.H. Eom, S.J. Lee
Material: See the following
Time and date: Thu, 16:0017:30 Location: 301421
Object: ´ë±Ô¸ð graphical modelÀÇ ÇÐ½À ¹× Ãß·Ð¿¡ ÀÖ¾î¼ bottleneckÀÌ
µÇ´Â ÇÙ½ÉÀûÀÎ computational issues¸¦ identifyÇÏ°í information theory,
MCMC, EC, particle filtering, importance sampling, active leanring µî¿¡
±âÃÊÇÑ È¿À²ÀûÀÎ adaptive sampling techniquesÀ» µµÃâÇÑ´Ù.
Date 
Title 
Speaker 
Sep 19 
Introduction to this seminar 
B.T. Zhang 
Sep 26 
Construction of largescale Bayesian networks with hidden variables added by clustering 
K.B. Hwang 
Oct 10 
How to formulate the effectiveness of active learning 
S.B. Park 
Oct 31 
RaoBlackwellised Particle Filtering for Dynamic Bayesian Networks 
J.M. O 
Oct 31 
Being Bayesian about Network Structure: A Bayesian Approach to Structure Discovery in Bayesian Networks 
D.Y. Cho 
Nov 7 

J.W. Lee 
Nov 7 
Particle Filters for Nonstationary ICA 
S.E. Lee 
Nov 14 

S.Y. Shin 
