2300 search results - page 243 / 460 » Learning Dialogue POMDP Models from Data |
194
click to vote
ESOP
2011
Springer
14 years 8 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
148
click to vote
ACL
2008
15 years 6 months ago
2008
Previous studies of data-driven dependency parsing have shown that the distribution of parsing errors are correlated with theoretical properties of the models used for learning an...
152
Voted
IROS
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
248
click to vote
HUMO
2007
Springer
15 years 11 months ago
2007
Springer
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
156
click to vote
IJCAI
1997
15 years 6 months ago
1997
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...