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AAAI
2008
15 years 2 months ago
2008
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
WSC
1997
15 years 1 months ago
1997
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
ICML
2009
IEEE
16 years 19 days ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
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AMAI
2004
Springer
15 years 5 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
— We consider a decentralized bidirectional control of a platoon of N identical vehicles moving in a straight line. Such problems are known to suffer from poor stability margin a...