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UAI
1998
15 years 8 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
ML
2008
ACM
15 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
208
Voted
MM
2006
ACM
197views Multimedia» more  MM 2006»
16 years 1 months ago
Virtual observers in a mobile surveillance system
Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to locations of interest. We describe an alternative and flexible approach to w...
Stewart Greenhill, Svetha Venkatesh
MM
1997
ACM
97views Multimedia» more  MM 1997»
15 years 11 months ago
A Failure and Overload Tolerance Mechanism for Continuous Media Servers
–Large scale clustered continuous media (CM) servers deployed in applications like video-on-demand have high availability requirements. In the event of server failure, streams fr...
Rajesh Krishnan, Dinesh Venkatesh, Thomas D. C. Li...
IJCNN
2008
IEEE
16 years 1 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...