2082 search results - page 304 / 417 » Using model knowledge for learning inverse dynamics |
EUROCAST
2003
Springer
14 years 2 months ago
2003
Springer
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
NN
2007
Springer
13 years 8 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
WWW
2009
ACM
14 years 9 months ago
2009
ACM
The abundant knowledge in web communities has motivated the research interests in discussion threads. The dynamic nature of discussion threads poses interesting and challenging pr...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
FLAIRS
2001
13 years 10 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 ...