31 search results - page 5 / 7 » Tractable learning of large Bayes net structures from sparse... |
JMLR
2006
13 years 7 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
NIPS
2008
13 years 8 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
CORR
1999
Springer
13 years 7 months ago
1999
Springer
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...