138 search results - page 9 / 28 » Inferring Hidden Causal Structure |
UAI
2004
13 years 11 months ago
2004
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
JMLR
2010
13 years 4 months ago
2010
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
JMLR
2012
12 years 7 days ago
2012
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
AIED
2005
Springer
14 years 3 months ago
2005
Springer
Making inferences is crucial for understanding the world. The school may develop such skills but there are few formal opportunities for that. This paper describes an experiment de...
ICIP
2007
IEEE
14 years 4 months ago
2007
IEEE
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...