111 search results - page 21 / 23 » Causal Graphical Models with Latent Variables: Learning and ... |
CORR
2008
Springer
13 years 11 months ago
2008
Springer
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
AAAI
2012
12 years 1 months ago
2012
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
NIPS
2008
14 years 8 days ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
ICMCS
2007
IEEE
14 years 5 months ago
2007
IEEE
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
ICONIP
2004
14 years 7 days ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...