284 search results - page 7 / 57 » Importance Sampling for Continuous Time Bayesian Networks |
86
Voted
BMCBI
2007
14 years 9 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
We describe an algorithm for perfect weighted-random sampling of a population with time complexity O(m + n) for sampling m inputs to produce n outputs. This algorithm is an increm...
95
Voted
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
BMCBI
2010
14 years 9 months ago
2010
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
IJNSEC
2008
14 years 9 months ago
2008
In flow-based mix networks, flow correlation attacks have been proposed earlier and have been shown empirically to seriously degrade mix-based anonymous communication systems. In ...