111 search results - page 3 / 23 » Causal Graphical Models with Latent Variables: Learning and ... |
ECSQARU
2001
Springer
14 years 3 months ago
2001
Springer
In this paper we examine the ability to perform causal reasoning with equilibrium models. We explicate a postulate, which we term the Manipulation Postulate, that is required in o...
ICML
2005
IEEE
14 years 11 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...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
CORR
2012
Springer
12 years 6 months 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...
ECML
2005
Springer
14 years 4 months ago
2005
Springer
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...