95 search results - page 14 / 19 » Learning Markov Logic Networks Using Structural Motifs |
APIN
2010
13 years 8 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
IJCAI
2007
13 years 10 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,...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
—The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazard...
FUIN
2008
13 years 7 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...
CORR
2011
Springer
13 years 10 days ago
2011
Springer
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...