April – An Inductive Logic Programming System
April – An Inductive Logic Programming System
Inductive Logic Programming (ILP) is a Machine Learning research field that has been quite successful in knowledge discovery in relational domains. ILP systems use a set of pre-classified examples (positive and negative) and prior knowledge to learn a theory in which positive examples succeed and the negative examples fail. In this paper we present a novel ILP system called April, capable of exploring several parallel strategies in distributed and shared memory machines.
- University of Porto Portugal
Computer and information sciences, Ciências da computação e da informação, Ciências exactas e naturais::Ciências da computação e da informação, Natural sciences::Computer and information sciences
Computer and information sciences, Ciências da computação e da informação, Ciências exactas e naturais::Ciências da computação e da informação, Natural sciences::Computer and information sciences
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!