1232 search results - page 1 / 247 » Structure Learning of Probabilistic Relational Models from I... |
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
IJAR
2010
13 years 7 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
AICOM
2008
13 years 8 months ago
2008
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...