2740 search results - page 48 / 548 » Approximating Component Selection |
100
Voted
UAI
1996
15 years 1 months ago
1996
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
101
Voted
CORR
2002
Springer
15 years 8 days ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
104
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ICANN
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Estimating the degree of similarity between images is a challenging task as the similarity always depends on the context. Because of this context dependency, it seems qui...
103
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
88
Voted
ICCD
2005
IEEE
15 years 9 months ago
2005
IEEE
Consideration of pairs of transition in probabilistic simulation allows power estimation for digital circuits in which inertial delays can filter glitches [5]. However, the merit ...