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UAI
1996
15 years 8 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
AAAI
2008
15 years 7 months ago
Bimodal Spatial Reasoning with Continuous Motion
Symbolic AI systems typically have difficulty reasoning about motion in continuous environments, such as determining whether a cornering car will clear a close obstacle. Bimodal s...
Samuel Wintermute, John E. Laird
ATMOS
2009
102views Optimization» more  ATMOS 2009»
15 years 7 months ago
An Improved Train Classification Procedure for the Hump Yard Lausanne Triage
In this paper we combine an integer programming approach and a computer simulation tool to successfully develop and verify an improved classification schedule for a real-world trai...
Peter Marton, Jens Maue, Marc Nunkesser
ICML
2010
IEEE
15 years 7 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
CVPR
2010
IEEE
15 years 6 months ago
Point-based non-rigid surface registration with accuracy estimation
This article presents a new method for non-rigid surface registration between a surface model and a surface of an internal organ in a given 3D medical image. The surface is repres...
Hidekata Hontani, Wataru Watanabe