123 search results - page 17 / 25 » Learning the structure of Markov logic networks |
AMAI
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
IDEAL
2005
Springer
14 years 1 months ago
2005
Springer
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
TNN
1998
13 years 7 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
FUIN
2008
13 years 6 months ago
2008
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
IJCAI
2007
13 years 9 months ago
2007
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...