321 search results - page 8 / 65 » A Review of Relational Machine Learning for Knowledge Graphs |
ICMLA
2009
13 years 8 months ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
ICML
1996
IEEE
14 years 11 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
ICML
2010
IEEE
13 years 12 months ago
2010
IEEE
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
ML
2010
ACM
13 years 9 months ago
2010
ACM
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Recently there has been considerable interest in learning with higher order relations (i.e., three-way or higher) in the unsupervised and semi-supervised settings. Hypergraphs and...