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JMLR
2010
137views more  JMLR 2010»
14 years 8 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
ICML
2005
IEEE
16 years 2 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
CHI
2005
ACM
16 years 1 months ago
Using intimacy, chronology and zooming to visualize rhythms in email experience
Experiences of intimacy and connectedness through social networks are vital to human sense of well-being. We live in an electronic habitat. Electronic mail functions as a medium o...
Mirko Mandic, Andruid Kerne
SOFTVIS
2006
ACM
15 years 7 months ago
Visualizing live software systems in 3D
The analysis of the runtime behavior of a software system yields vast amounts of information, making accurate interpretations difficult. Filtering or compression techniques are o...
Orla Greevy, Michele Lanza, Christoph Wysseier
IPSN
2005
Springer
15 years 6 months ago
A scheme for robust distributed sensor fusion based on average consensus
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
Lin Xiao, Stephen P. Boyd, Sanjay Lall