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108
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DMIN
2009
119views Data Mining» more  DMIN 2009»
15 years 8 days ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola
123
Voted
ICML
2006
IEEE
16 years 3 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
ISSTA
2004
ACM
15 years 8 months ago
Verifying process models built using parameterized state machines
Software process and workflow languages are increasingly used to define loosely-coupled systems of systems. These languages focus on coordination issues such as data flow and c...
Barbara Staudt Lerner
CCE
2007
15 years 2 months ago
A multiple model, state feedback strategy for robust control of non-linear processes
In order to achieve global stability using well-established linear control theory and techniques, a multiple model approach has attracted increased attention in recent years. In o...
F. Y. Wang, Parisa A. Bahri, Peter L. Lee, I. T. C...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 9 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...