284 search results - page 5 / 57 » Importance Sampling for Continuous Time Bayesian Networks |
105
Voted
JMLR
2010
14 years 4 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
RECOMB
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
HICSS
2007
IEEE
15 years 3 months ago
2007
IEEE
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
PERVASIVE
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
AAAI
2007
14 years 11 months ago
2007
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...