Results 31 to 40 of about 120 (110)
MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic
IEEE AccessWe present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
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GenEth: a general ethical dilemma analyzer
Paladyn, 2018 We argue that ethically significant behavior of autonomous systems should be guided by explicit ethical principles determined through a consensus of ethicists. Such a consensus is likely to emerge in many areas in which intelligent autonomous systems are
Anderson Michael, Anderson Susan Leigh
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Semantic Probabilistic Inference of Predictions
Известия Иркутского государственного университета: Серия "Математика", 2017 Prediction is one of the most important concepts in science. Predictions obtained from probabilistic knowledge, are described by an inductive-statistical inference (I-S inference).
E. E. Vityaev
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On Avoiding Redundancy in Inductive Logic Programming [PDF]
, 2004 ILP systems induce first-order clausal theories performing a search through very large hypotheses spaces containing redundant hypotheses. The generation of redundant hypotheses may prevent the systems from finding good models and increases the time to induce them.
Nuno A. Fonseca +3 more
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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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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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Regularization in Probabilistic Inductive Logic Programming
, 2023 AbstractProbabilistic Logic Programming combines uncertainty and logic-based languages. Liftable Probabilistic Logic Programs have been recently proposed to perform inference in a lifted way. LIFTCOVER is an algorithm used to perform parameter and structure learning of liftable probabilistic logic programs. In particular, it performs parameter learning
Gentili E. +4 more
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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
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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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