321 search results - page 9 / 65 » A Review of Relational Machine Learning for Knowledge Graphs |
GIS
1992
ACM
14 years 2 months ago
1992
ACM
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
MLG
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning. Up till now these connections have mostly be...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...