157 search results - page 2 / 32 » Posterior Regularization for Structured Latent Variable Mode... |
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
We derive a number of well known deterministic latent variable models such as PCA, ICA, EPCA, NMF and PLSA as variational EM approximations with point posteriors. We show that the...
AAAI
2006
13 years 6 months ago
2006
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
ACL
2011
12 years 9 months ago
2011
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting m...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...