235 search results - page 15 / 47 » Compiling Bayesian Networks Using Variable Elimination |
144
Voted
JMLR
2010
14 years 8 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
106
Voted
IROS
2007
IEEE
15 years 7 months ago
2007
IEEE
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
115
Voted
ICCD
2002
IEEE
15 years 10 months ago
2002
IEEE
We represent switching activity in VLSI circuits using a graphical probabilistic model based on Cascaded Bayesian Networks (CBN’s). We develop an elegant method for maintaining ...
134
Voted
HYBRID
2000
Springer
15 years 4 months ago
2000
Springer
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...
105
Voted
AAAI
2008
15 years 3 months ago
2008
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...