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SARA
2007
Springer
14 years 2 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
AAAI
2006
13 years 10 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
15 years 1 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
SNPD
2008
13 years 10 months ago
Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
A complete diagnostic Bayesian network model cannot be achieved and the result of the constructed model cannot be guaranteed unless correct and reliable data are provided to the m...
Nipat Jongsawat, Pittaya Poompuang, Wichian Premch...
WCNC
2010
IEEE
14 years 13 days ago
Network Selection in Heterogeneous Wireless Networks: Evolution with Incomplete Information
—Enabling users to connect to the best available network, dynamic network selection scheme is important for satisfying various quality of service (QoS) requirements, achieving se...
Kun Zhu, Dusit Niyato, Ping Wang