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» A Review of Relational Machine Learning for Knowledge Graphs
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108
Voted
CC
2006
Springer
124views System Software» more  CC 2006»
15 years 4 months ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...
91
Voted
ML
1998
ACM
115views Machine Learning» more  ML 1998»
14 years 12 months ago
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
This paper is a case study of a machine aided knowledge discovery process within the general area of drug design. More speci cally, the paper describes a sequence of experiments in...
Paul W. Finn, Stephen Muggleton, David Page, Ashwi...
ICML
2008
IEEE
16 years 1 months ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka
112
Voted
ICML
2009
IEEE
16 years 1 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
126
Voted
AC
2002
Springer
15 years 4 days ago
Empirical Studies of Quality Models in Object-Oriented Systems
Measuring structural design properties of a software system, such as coupling, cohesion, or complexity, is a promising approach towards early quality assessments. To use such meas...
Lionel C. Briand, Jürgen Wüst