Adaptive Sampling Techniques for Large-Scale 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, 16:00-17:30
Location: 301-421
Object: ´ë±Ô¸ð graphical modelÀÇ ÇнÀ ¹× Ã߷п¡ À־ bottleneckÀÌ µÇ´Â ÇÙ½ÉÀûÀÎ computational issues¸¦ identifyÇϰí 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 large-scale 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

Rao-Blackwellised 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

 


Paper List of Each Participants

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