2300 search results - page 111 / 460 » Learning Dialogue POMDP Models from Data |
115
click to vote
JMLR
2010
14 years 11 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
135
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
135
click to vote
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
109
click to vote
IROS
2007
IEEE
15 years 10 months ago
2007
IEEE
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
139
click to vote
NN
2006
Springer
15 years 4 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...