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» EM Algorithm for Symmetric Causal Independence Models
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CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
13 years 9 months ago
Improved independent component regression modeling
The conventional independent component regression (ICR), as an exclusive two-step implementation algorithm, has the risk similar to principal component regression (PCR). That is, t...
Chunhui Zhao, Furong Gao, Tao Liu, Fuli Wang
JMLR
2011
142views more  JMLR 2011»
13 years 22 days 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...
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 9 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
IICAI
2003
13 years 7 months ago
Causal Explanation with Background Knowledge
Abstract. This paper presents a new sequential algorithm to answer the question about the existence of a causal explanation for a set of independence statements (a dependency model...
Bhaskara Reddy Moole, Marco Valtorta
ICPR
2002
IEEE
14 years 6 months ago
Two-Hand Gesture Recognition using Coupled Switching Linear Model
We present a method coupling multiple switching linear models. The coupled switching linear model is an interactive process of two switching linear models. Coupling is given throu...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo...