3668 search results - page 49 / 734 » Margin Distribution and Learning |
113
click to vote
AAAI
2008
15 years 7 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...
152
click to vote
WSC
1997
15 years 6 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...
118
click to vote
ICML
2009
IEEE
16 years 5 months 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...
156
click to vote
AMAI
2004
Springer
15 years 10 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...
143
Voted
CDC
2009
IEEE
15 years 9 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...