123 search results - page 4 / 25 » Learning the structure of Markov logic networks |
PKDD
2004
Springer
14 years 1 months ago
2004
Springer
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...