123 search results - page 4 / 25 » Learning the structure of Markov logic networks |
PKDD
2004
Springer
15 years 5 months ago
2004
Springer
95
Voted
ICDM
2010
IEEE
14 years 9 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...
94
Voted
ICML
2010
IEEE
15 years 21 days 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 ...
102
click to vote
SDM
2008
SIAM
15 years 1 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...
109
Voted
ICML
2009
IEEE
16 years 13 days 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...