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Inductive Logic Programming: Theory and methods
The Journal of Logic Programming, 1994 The paper is an interesting and clear survey of the theory and the applications of inductive logic programming (ILP). This is a new discipline arising from the integration of inductive machine learning and logic programming. Similarly to the case of inductive learning, the aim of ILP is to develop techniques for constructing inductively hypotheses from
Muggleton, Stephen, De Raedt, Luc
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Normal forms for Inductive Logic Programming [PDF]
, 1997 . In this paper we study induction of unrestricted clausal theories from interpretations. First, we show that in the propositional case induction from complete evidence can be seen as an equivalence-preserving transformation from DNF to CNF. From this we
Saso Dzeroski (eds +3 more
core
British Journal of Clinical Pharmacology, EarlyView.Aims The Black Triangle Scheme, introduced in 2018 in Australia, does not appear to have increased the quantity of adverse drug event (ADE) reports. This study evaluated healthcare professionals' (HCPs') and consumers' awareness of the scheme, its influence on intentions for future ADE reporting, and suggested improvements.
Eyob Alemayehu Gebreyohannes +7 more
wiley +1 more source
A First Step towards Learning which uORFs Regulate Gene Expression
Journal of Integrative Bioinformatics, 2006 We have taken a first step towards learning which upstream Open Reading Frames (uORFs) regulate gene expression (i.e., which uORFs are functional) in the yeast Saccharomyces cerevisiae.
Selpi +3 more
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High Risk Artificial Intelligence Systems and Legal Doctrine of Essential Facilities: in Search for a Dynamic Model [PDF]
Interdisciplinary Description of Complex SystemsThe Regulation of the European Parliament and of the Council on laying down harmonised rules on Artificial Intelligence and amending certain Union Legislative Acts (Artificial Intelligence Act) targets high risk artificial intelligence systems as one of ...
Dominik Vuletić
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Evolutionary search in inductive equational logic programming [PDF]
, 2003 Concept learning is the induction of a description from a set of examples. Inductive logic programming can be considered a special case of the general notion of concept learning specifically referring to the induction of first-order theories.
Hamel, L. H.
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Between public service and market: Portraying the bifront university in a platformized world
British Educational Research Journal, EarlyView.Abstract This paper contributes to the international debate on the changes affecting recruitment and orientation processes toward higher education. Based on qualitative research involving 19 Italian public universities, the study analyses the transformations in communication, recruitment and orientation activities within platformization and increasing ...
Marco Pitzalis +2 more
wiley +1 more source
Integrating AI and Multi-objective Optimization for Enhanced Microgrid Energy Management Using Quadratic Programming [PDF]
E3S Web of ConferencesUsing the AI approaches and the quadratic programming driven multiobjective optimisation, this paper proposes a universal framework for smart microgrid energy management.
Agrawal Priyanka +5 more
doaj +1 more source
Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine
IEEE Access, 2020 Multiple-instance learning (MIL) can solve supervised learning tasks, where only a bag of multiple instances is labeled, instead of a single instance.
Peipei Wang +3 more
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April – An Inductive Logic Programming System [PDF]
, 2006 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.
Nuno A. Fonseca +2 more
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