564 search results - page 45 / 113 » Approximation algorithms for restricted Bayesian network str... |
IJON
2010
14 years 11 months ago
2010
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
88
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
82
Voted
FLAIRS
2004
15 years 2 months ago
2004
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
118
Voted
COLOGNETWENTE
2007
15 years 2 months ago
2007
We present the first polynomial-time approximation scheme (PTAS) for the Minimum Independent Dominating Set problem in graphs of polynomially bounded growth. Graphs of bounded gr...
103
Voted
IJCAI
2007
15 years 2 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...