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UAI
1997
15 years 8 months ago
Sequential Update of Bayesian Network Structure
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
Nir Friedman, Moisés Goldszmidt
WSC
1997
15 years 8 months ago
Descriptive Sampling: An Improvement over Latin Hypercube Sampling
Descriptive Sampling (DS), a Monte Carlo sampling technique based on a deterministic selection of the input values and their random permutation, represents a deep conceptual chang...
Eduardo Saliby
IJCAI
1993
15 years 8 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
ATAL
2010
Springer
15 years 8 months ago
A general, fully distributed multi-agent planning algorithm
We present a fully distributed multi-agent planning algorithm. Our methodology uses distributed constraint satisfaction to coordinate between agents, and local planning to ensure ...
Raz Nissim, Ronen I. Brafman, Carmel Domshlak
ICML
2010
IEEE
15 years 7 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint