Browsing by Author "Anderson, Grant"
Now showing items 1-5 of 6
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Clustering Relational Data Based on Randomized Propositionalization
(Springer, Berlin, 2008)Clustering of relational data has so far received a lot less attention than classification of such data. In this paper we investigate a simple approach based on randomized propositionalization, which allows for applying ... -
Exploiting propositionalization based on random relational rules for semi-supervised learning
(Springer, Berlin, 2008)In this paper we investigate an approach to semi-supervised learning based on randomized propositionalization, which allows for applying standard propositional classification algorithms like support vector machines to ... -
Idioms for µ-charts
(IEEE COMPUTER SOC, 2001-08-01)This paper presents an idiomatic construct for µ-charts which reflects the high-level specification construct of synchronization between activities. This, amongst others, has emerged as a common and useful idea during our ... -
Random Relational Rules
(The University of Waikato, 2008)In the field of machine learning, methods for learning from single-table data have received much more attention than those for learning from multi-table, or relational data, which are generally more computationally complex. ... -
Random Relational Rules
(2006)Exhaustive search in relational learning is generally infeasible, therefore some form of heuristic search is usually employed, such as in FOIL[1]. On the other hand, so-called stochastic discrimination provides a framework ...
