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» Inference in Bayesian Networks
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HYBRID
2000
Springer
15 years 5 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
111
Voted
BMCBI
2007
129views more  BMCBI 2007»
15 years 1 months ago
Inferring cellular networks - a review
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
Florian Markowetz, Rainer Spang
CVPR
1999
IEEE
16 years 3 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
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...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
KES
2005
Springer
15 years 7 months ago
Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone
As more people get using mobile phones, smartphone which is a new generation of mobile phone with computing capability earns world-wide reputation as new personal business assistan...
Sang-Jun Han, Sung-Bae Cho
INFOCOM
2009
IEEE
15 years 8 months ago
Passive Loss Inference in Wireless Sensor Networks Based on Network Coding
Abstract—The highly stochastic nature of wireless environments makes it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inferen...
Yunfeng Lin, Ben Liang, Baochun Li