85 search results - page 8 / 17 » Aggregating Learned Probabilistic Beliefs |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
ICCV
1999
IEEE
15 years 1 months ago
1999
IEEE
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
PODS
1999
ACM
15 years 1 months ago
1999
ACM
We investigate the problem of how to extend constraint query languages with aggregate operators. We deal with standard relational aggregation, and also with aggregates speci c to ...
AAAI
2006
14 years 11 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
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JAIR
2010
14 years 8 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...