589 search results - page 12 / 118 » Modeling affordances using Bayesian networks |
SAFECOMP
2005
Springer
15 years 7 months ago
2005
Springer
Event trees are a popular technique for modelling accidents in system safety analyses. Bayesian networks are a probabilistic modelling technique representing influences between unc...
141
Voted
IJON
2006
15 years 1 months ago
2006
Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursti...
117
Voted
NN
1997
Springer
15 years 6 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
128
Voted
CVPR
1999
IEEE
16 years 3 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...
130
Voted
AAAI
2007
15 years 4 months ago
2007
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing ...