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» Bayesian Structure from Motion
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UAI
1992
15 years 2 months ago
Exploring Localization in Bayesian Networks for Large Expert Systems
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...
Yang Xiang, David Poole, Michael P. Beddoes
96
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BC
1999
100views more  BC 1999»
15 years 15 days ago
A mathematical model of the adaptive control of human arm motions
Abstract. This paper discusses similarities between models of adaptive motor control suggested by recent experiments with human and animal subjects, and the structure of a new cont...
Robert M. Sanner, Makiko Kosha
124
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VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
16 years 1 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...
AAAI
1997
15 years 2 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
JMLR
2010
137views more  JMLR 2010»
14 years 7 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton