248 search results - page 42 / 50 » Learning the Structure of Dynamic Probabilistic Networks |
FLAIRS
2001
13 years 9 months ago
2001
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
AAAI
2011
12 years 7 months ago
2011
This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environ...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
WOWMOM
2005
ACM
14 years 1 months ago
2005
ACM
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...