1636 search results - page 80 / 328 » Using Bayesian Networks to Model Agent Relationships |
CONTEXT
2001
Springer
14 years 6 days ago
2001
Springer
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
KES
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In the field of the service robots, object detection and scene understanding are very important. Conventional methods for object detection are performed with the geometri...
JAIR
2008
13 years 7 months ago
2008
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
PR
2011
13 years 2 months ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...