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ICML
2008
IEEE
16 years 7 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
16 years 22 days ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
IJCAI
2001
15 years 7 months ago
Leveraging Data About Users in General in the Learning of Individual User Models
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
Anthony Jameson, Frank Wittig
UAI
2003
15 years 7 months ago
An Importance Sampling Algorithm Based on Evidence Pre-propagation
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
Changhe Yuan, Marek J. Druzdzel
ICC
2007
IEEE
106views Communications» more  ICC 2007»
16 years 23 days ago
A Distributed Approach to End-to-End Network Topology Inference
Abstract— To construct an efficient overlay network, the information of underlay is important. However, the inference of an underlay topology is not easy. We consider using end-...
Xing Jin, Qiuyan Xia, Shueng-Han Gary Chan