321 search results - page 4 / 65 » A Review of Relational Machine Learning for Knowledge Graphs |
EDUTAINMENT
2010
Springer
13 years 12 months ago
2010
Springer
Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in des...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
ML
2011
ACM
13 years 5 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
AAAI
2008
14 years 1 months ago
2008
To truly understand language, an intelligent system must be able to connect words, phrases, and sentences to its perception of objects and events in the world. Current natural lan...
TKDE
2010
13 years 9 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...