204 search results - page 4 / 41 » Learning locally minimax optimal Bayesian networks |
FLAIRS
2006
15 years 1 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
ICML
2004
IEEE
16 years 14 days ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
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UAI
1998
15 years 1 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
GECCO
2008
Springer
15 years 22 days ago
2008
Springer
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
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NIPS
1990
15 years 25 days ago
1990
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...