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CORR
2006
Springer
144views Education» more  CORR 2006»
13 years 7 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
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...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
CONCUR
2003
Springer
14 years 28 days ago
A Compositional Semantic Theory for Synchronous Component-based Design
Abstract. Digital signal processing and control (DSPC) tools allow application developers to assemble systems by connecting predefined components in signal–flow graphs and by h...
Barry Norton, Gerald Lüttgen, Michael Mendler
UAI
2004
13 years 9 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
DCOSS
2006
Springer
13 years 11 months ago
Distributed Optimal Estimation from Relative Measurements for Localization and Time Synchronization
Abstract. We consider the problem of estimating vector-valued variables from noisy "relative" measurements. The measurement model can be expressed in terms of a graph, wh...
Prabir Barooah, Neimar Machado da Silva, Joã...
WWW
2008
ACM
14 years 8 months ago
Composite process oriented service discovery in preserving business and timed relation
This paper proposes an approach for solving the problem of composite process oriented service discovery with preserving business and timed relation. Key to our approach is the def...
Yu Dai, Lei Yang, Bin Zhang, Kening Gao