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» A Review of Relational Machine Learning for Knowledge Graphs
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GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 4 months ago
Limits in Long Path Learning with XCS
The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...
Alwyn Barry
GG
2008
Springer
14 years 10 hour ago
Graph-Based Tools: The Contest
This event is the second instance of the contest for graph transformation-based tools, which was first held as part of the AGTIVE workshop. The aim is to stimulate tool developmen...
Arend Rensink, Pieter Van Gorp
DIS
1999
Springer
14 years 3 months ago
The Melting Pot of Automated Discovery: Principles for a New Science
After two decades of research on automated discovery, many principles are shaping up as a foundation of discovery science. In this paper we view discovery science as automation of ...
Jan M. Zytkow
ICML
2006
IEEE
14 years 11 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
COLT
1994
Springer
14 years 3 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton