119 search results - page 12 / 24 » Regression-based latent factor models |
AAAI
2012
13 years 1 days ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
PAMI
2008
14 years 9 months ago
2008
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
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ICSE
2004
IEEE-ACM
15 years 9 months ago
2004
IEEE-ACM
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...