Abstract
Probabilistic Networks (PNs), also known as Bayesian networks, causal networks, belief networks or probabilistic dependence graphics, emerged in the 80's and have been applied in a wide variety of real-world activities. However, the most common available structure estimation algorithms underlying to probabilistic network classiers are often conned to discrete or Gaussian models. At the sa…