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» Hierarchical Gaussian process latent variable models
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98
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ECML
2005
Springer
15 years 5 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
95
Voted
CORR
2006
Springer
144views Education» more  CORR 2006»
14 years 11 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
117
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JMLR
2011
125views more  JMLR 2011»
14 years 6 months ago
Approximate Marginals in Latent Gaussian Models
We consider the problem of improving the Gaussian approximate posterior marginals computed by expectation propagation and the Laplace method in latent Gaussian models and propose ...
Botond Cseke, Tom Heskes
CICLING
2007
Springer
15 years 5 months ago
Latent Variable Models for Causal Knowledge Acquisition
Takashi Inui, Hiroya Takamura, Manabu Okumura
95
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EACL
2006
ACL Anthology
15 years 1 months ago
Latent Variable Models for Semantic Orientations of Phrases
We propose models for semantic orientations of phrases as well as classification methods based on the models. Although each phrase consists of multiple words, the semantic orienta...
Hiroya Takamura, Takashi Inui, Manabu Okumura