138 search results - page 5 / 28 » Inferring Hidden Causal Structure |
NIPS
2003
13 years 11 months ago
2003
This paper addresses the problem of untangling hidden graphs from a set of noisy detections of undirected edges. We present a model of the generation of the observed graph that in...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
UAI
2003
13 years 11 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...
IUI
2003
ACM
14 years 3 months ago
2003
ACM
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
JMLR
2011
13 years 4 months ago
2011
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...