321 search results - page 30 / 65 » A Review of Relational Machine Learning for Knowledge Graphs |
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
EWCBR
2004
Springer
14 years 4 months ago
2004
Springer
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
IDA
2007
Springer
13 years 10 months ago
2007
Springer
Graph grammars combine the relational aspect of graphs with the iterative and recursive aspects of string grammars, and thus represent an important next step in our ability to dis...
KER
2011
13 years 1 months ago
2011
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
EMNLP
2011
12 years 10 months ago
2011
Class-instance label propagation algorithms have been successfully used to fuse information from multiple sources in order to enrich a set of unlabeled instances with class labels...