5 search results - page 1 / 1 » Noisy-OR Models with Latent Confounding |
CORR
2012
Springer
12 years 7 days ago
2012
Springer
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
JMLR
2006
13 years 4 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
CORR
2006
Springer
13 years 4 months ago
2006
Springer
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...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Recognition using appearance features is confounded by
phenomena that cause images of the same object to look different,
or images of different objects to look the same. This
ma...
UAI
2003
13 years 5 months ago
2003
A fundamental question in causal inference is whether it is possible to reliably infer the manipulation effects from observational data. There are a variety of senses of asymptot...