Learning First Order Logic Time Series Classifiers: Rules and Boosting
نویسندگان
چکیده
منابع مشابه
Boosting Descriptive ILP for Predictive Learning in Bioinformatics
Boosting is an established propositional learning method to promote the predictive accuracy of weak learning algorithms, and has achieved much empirical success. However, there have been relatively few efforts to apply boosting to Inductive Logic Programming (ILP) approaches. We investigate the use of boosting descriptive ILP systems, by proposing a novel algorithm for generating classification...
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