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125
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SAC
2010
ACM
15 years 11 months ago
2010
ACM
We present an automated ontology matching methodology, supported by various machine learning techniques, as implemented in the system MoTo. The methodology is twotiered. On the ï¬...
109
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
156
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
128
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CF
2007
ACM
15 years 8 months ago
2007
ACM
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
124
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ML
2006
ACM
15 years 4 months ago
2006
ACM
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...