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UAI
1996
15 years 8 months ago
Bucket elimination: A unifying framework for probabilistic inference
Probabilistic inference algorithms for belief updating, nding the most probable explanation, the maximum a posteriori hypothesis, and the maximum expected utility are reformulated...
Rina Dechter
IJCAI
1989
15 years 8 months ago
Detecting and Correcting Errors of Omission After Explanation-Based Learning
In this paper, we address an issue that arises when the background knowledge used by explanationbased learning is incorrect. In particular, we consider the problems that can be ca...
Michael J. Pazzani
AMC
2008
92views more  AMC 2008»
15 years 7 months ago
Explicit multi-step peer methods for special second-order differential equations
The construction of s-stage explicit two- and three-step peer methods of order p = 2s and p = 3s is considered for the solution of non-stiff second order initial value problems wh...
Stefan Jebens, Rüdiger Weiner, Helmut Podhais...
ANOR
2010
96views more  ANOR 2010»
15 years 7 months ago
Lipschitz and differentiability properties of quasi-concave and singular normal distribution functions
Abstract The paper provides a condition for differentiability as well as an equivalent criterion for Lipschitz continuity of singular normal distributions. Such distributions are o...
René Henrion, Werner Römisch
AUTOMATICA
2007
68views more  AUTOMATICA 2007»
15 years 7 months ago
Frequency domain maximum likelihood estimation of linear dynamic errors-in-variables models
- This paper studies the linear dynamic errors-in-variables problem in the frequency domain. First the identifiability is shown under relaxed conditions. Next a frequency domain Ga...
Rik Pintelon, Johan Schoukens