2300 search results - page 296 / 460 » Learning Dialogue POMDP Models from Data |
161
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PPSN
2004
Springer
15 years 10 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
104
Voted
NIPS
2004
15 years 6 months ago
2004
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
154
Voted
CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
140
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VLDB
2007
ACM
15 years 10 months ago
2007
ACM
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...
117
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CSB
2005
IEEE
15 years 10 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...