1771 search results - page 11 / 355 » Bayesian Network Based XP Process Modelling |
ACL
2010
13 years 6 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
ICASSP
2011
IEEE
13 years 15 days ago
2011
IEEE
In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, wh...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
AAAI
2012
11 years 11 months ago
2012
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...