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» Structure learning of Bayesian networks using constraints
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SSPR
2004
Springer
15 years 10 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
AI
2000
Springer
15 years 4 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
ICVS
1999
Springer
15 years 9 months ago
Ascender II, a Visual Framework for 3D Reconstruction
This paper presents interim results from an ongoing project on aerial image reconstruction. One important task in image interpretation is the process of understanding and identifyi...
Maurício Marengoni, Christopher O. Jaynes, ...
UAI
2008
15 years 6 months ago
Hierarchical POMDP Controller Optimization by Likelihood Maximization
Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be...
Marc Toussaint, Laurent Charlin, Pascal Poupart
DAC
1997
ACM
15 years 9 months ago
InfoPad - An Experiment in System Level Design and Integration
The InfoPad project was started at UC Berkeley in 1992 to investigate the issues involved in providing multimedia information access using a portable, wireless terminal. It quickl...
Robert W. Brodersen