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» Optimal Causal Inference
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115
Voted
ETFA
2008
IEEE
15 years 2 months ago
Efficient failure-free foundry production
Microshrinkages are known as probably the most difficult defects to avoid in high-precission foundry. Depending on the magnitude of this defect, the piece in which it appears must...
Yoseba K. Penya, Pablo Garcia Bringas, Argoitz Zab...
AIPS
2000
15 years 2 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
99
Voted
NIPS
1997
15 years 2 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
AAAI
1990
15 years 1 months ago
An Approach to Reasoning About Continuous Change for Applications in Planning
There are many planning applications that require an agent to coordinate its activities with processes that change continuously over time. Several proposals have been made for com...
Thomas Dean, Greg Siegle
118
Voted
MICCAI
2010
Springer
14 years 11 months ago
A Geometry-Based Particle Filtering Approach to White Matter Tractography
Abstract. We introduce a fibre tractography framework based on a particle filter which estimates a local geometrical model of the underlying white matter tract, formulated as a ...
Peter Savadjiev, Yogesh Rathi, James G. Malcolm, M...