Titlebook: Inductive Logic Programming; 28th International C Fabrizio Riguzzi,Elena Bellodi,Riccardo Zese Conference proceedings 2018 Springer Nature

Iodine

书目名称Inductive Logic Programming影响因子(影响力)




书目名称Inductive Logic Programming影响因子(影响力)学科排名




书目名称Inductive Logic Programming网络公开度




书目名称Inductive Logic Programming网络公开度学科排名




书目名称Inductive Logic Programming被引频次




书目名称Inductive Logic Programming被引频次学科排名




书目名称Inductive Logic Programming年度引用




书目名称Inductive Logic Programming年度引用学科排名




书目名称Inductive Logic Programming读者反馈




书目名称Inductive Logic Programming读者反馈学科排名

Synthesize

Large-Scale Assessment of Deep Relational Machines,oduced through relational features: in the original formulation of [.], the features are selected by an ILP engine using domain knowledge encoded as logic programs. More recently, in [.], DRMs appear to achieve good performance without the need of feature-selection by an ILP engine (the features are

Bmd955

,How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?,t aims at learning an agent strategy, performing experiments involves costs. To that extent, the efficiency of a learning process relies on the number of experiments performed. We study in this article how the cost of experimentation can be reduced with active learning to learn efficient agent strat

Inkling

Diagnostics of Trains with Semantic Diagnostics Rules,ignals from sensors installed in equipment by filtering, aggregating, and combining sequences of time-stamped measurements recorded by the sensors. Such rules are often data-dependent in the sense that they rely on specific characteristics of individual sensors and equipment. This dependence poses s

choroid

The Game of Bridge: A Challenge for ILP,ned for the game of Bridge because (i) Bridge is a partially observable game (ii) a Bridge player must be able to explain at some point the meaning of his actions to his opponents. This paper presents a simple supervised learning problem in Bridge: given a ‘limit hand’, should a player bid or not, o

Reverie

Flagging

,Explaining Black-Box Classifiers with ILP – Empowering LIME with Aleph to Approximate Non-linear De generated. As application domain we use images which consist of a coarse representation of ancient graves. The graves are divided into two classes and can be characterised by meaningful features and relations. This domain was generated in analogy to a classic concept acquisition domain researched i

hieroglyphic

有偏见

ALT

Targeted End-to-End Knowledge Graph Decomposition, becoming increasingly important as numerous real-life systems can be represented as knowledge graphs, where properties of selected types of nodes or edges are learned. This paper presents a fully autonomous approach to targeted knowledge graph decomposition, advancing the state-of-the-art HINMINE n