4591 search results - page 291 / 919 » Learning from Dyadic Data |
147
Voted
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
187
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PAMI
2011
14 years 12 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
112
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IPMI
2005
Springer
16 years 5 months ago
2005
Springer
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
171
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PVLDB
2008
15 years 4 months ago
2008
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
114
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ISMDA
2001
Springer
15 years 9 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...