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UAI
2008
15 years 4 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
136
Voted
ESANN
2007
15 years 4 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
Xiaohai Sun, Dominik Janzing
JOCN
2011
94views more  JOCN 2011»
14 years 10 months ago
Establishing Causal Coherence across Sentences: An ERP Study
■ This study examined neural activity associated with establishing causal relationships across sentences during on-line comprehension. ERPs were measured while participants read...
Gina R. Kuperberg, Martin Paczynski, Tali Ditman
JMLR
2011
142views more  JMLR 2011»
14 years 10 months ago
Causal Search in Structural Vector Autoregressive Models
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 ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
ICCV
2005
IEEE
15 years 9 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...