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» A Review of Relational Machine Learning for Knowledge Graphs
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ICML
2007
IEEE
14 years 6 months ago
Relational clustering by symmetric convex coding
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...
AAAI
1993
13 years 6 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
EOR
2002
105views more  EOR 2002»
13 years 5 months ago
Review of properties of different precedence graphs for scheduling problems
Precedence constraints are a part of a definition of any scheduling problem. After recalling, in precise graph-theoretical terms, the relations between task-on-arc and task-on-nod...
Jacek Blazewicz, Daniel Kobler
ILP
2007
Springer
13 years 11 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen