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检索条件"主题词=INDUCTIVE LOGIC PROGRAMMING"
525 条 记 录,以下是81-90 订阅
排序:
Symplex: Learning Social Norm Hierarchies by Combining Autonomous Exploration and Expert Imitation  25
Symplex: Learning Social Norm Hierarchies by Combining Auton...
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Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems
作者: Oliver Deane Oliver Ray University of Bristol Bristol United Kingdom
In this paper, we introduce SYMPLEX (Symbolic Policy Learning from Experts/Exploration), an interactive framework that learns complex hierarchies of behavioral norms as interpretable logical constraints through a comb... 详细信息
来源: 评论
Probabilistic Rule Induction for Transparent CBR Under Uncertainty  41st
Probabilistic Rule Induction for Transparent CBR Under Uncer...
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41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI)
作者: Jedwabny, Martin Bisquert, Pierre Croitoru, Madalina Univ Montpellier CNRS INRIA LIRMM Montpellier France Univ Montpellier Inst Agro INRAE IATE Montpellier France
CBR systems leverage past experiences to make decisions. Recently, the AI community has taken an interest in making CBR systems explainable. logic-based frameworks make answers straightforward to explain. However, the... 详细信息
来源: 评论
Conceptual model visual simulation and the inductive learning of missing domain constraints
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DATA & KNOWLEDGE ENGINEERING 2022年 140卷
作者: Fumagalli, Mattia Sales, Tiago Prince Baiao, Fernanda Araujo Guizzardi, Giancarlo Free Univ Bozen Bolzano Conceptual & Cognit Modeling Res Grp CORE Bolzano Italy Pontif Catholic Univ Rio De Janeiro Dept Ind Engn Rio De Janeiro Brazil Univ Twente Serv & Cybersecur SCS Enschede Netherlands
Conceptual modeling plays a fundamental role in information systems engineering, and in data and systems interoperability. To play their role as instruments for domain modeling, conceptual models must contain the exac... 详细信息
来源: 评论
A new relational Tri-training system with adaptive data editing for inductive logic programming
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KNOWLEDGE-BASED SYSTEMS 2012年 35卷 173-185页
作者: Li, Yanjuan Guo, Maozu Harbin Inst Technol Sch Comp Sci & Technol Harbin 150006 Peoples R China NE Forestry Univ Sch Informat & Comp Engn Harbin Peoples R China
Relational Tri-training (k-Tri-training for short), as a relational semi-supervised learning system, can effectively exploit unlabeled examples to improve the generalization ability. However, the R-Tri-training may al... 详细信息
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Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations  44th
Explanation as a Process: User-Centric Construction of Multi...
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44th German Conference on Artificial Intelligence (KI)
作者: Finzel, Bettina Tafler, David E. Scheele, Stephan Schmid, Ute Univ Bamberg Cognit Syst Bamberg Germany Fraunhofer Inst Integrated Circuits IIS Sensory Percept Analyt Erlangen Germany
In the last years, XAI research has mainly been concerned with developing new technical approaches to explain deep learning models. Just recent research has started to acknowledge the need to tailor explanations to di... 详细信息
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Learning logic Specifications for Soft Policy Guidance in POMCP  23
Learning Logic Specifications for Soft Policy Guidance in PO...
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Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
作者: Giulio Mazzi Daniele Meli Alberto Castellini Alessandro Farinelli University of Verona Verona Italy
Partially Observable Monte Carlo Planning (POMCP) is an efficient solver for Partially Observable Markov Decision Processes (POMDPs). It allows scaling to large state spaces by computing an approximation of the optima... 详细信息
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A process framework for inducing and explaining Datalog theories
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ADVANCES IN DATA ANALYSIS AND CLASSIFICATION 2020年 第4期14卷 821-835页
作者: Gromowski, Mark Siebers, Michael Schmid, Ute Univ Bamberg Cognit Syst Weberei 5 D-96049 Bamberg Germany
With the increasing prevalence of Machine Learning in everyday life, a growing number of people will be provided with Machine-Learned assessments on a regular basis. We believe that human users interacting with system... 详细信息
来源: 评论
logical reduction of metarules
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MACHINE LEARNING 2020年 第7期109卷 1323-1369页
作者: Cropper, Andrew Tourret, Sophie Univ Oxford Oxford England Max Planck Inst Informat Saarbrucken Germany
Many forms of inductive logic programming (ILP) usemetarules, second-order Horn clauses, to define the structure of learnable programs and thus the hypothesis space. Deciding which metarules to use for a given learnin... 详细信息
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inductive general game playing
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MACHINE LEARNING 2020年 第7期109卷 1393-1434页
作者: Cropper, Andrew Evans, Richard Law, Mark Univ Oxford Oxford England Imperial Coll London London England
General game playing (GGP) is a framework for evaluating an agent's general intelligence across a wide range of tasks. In the GGP competition, an agent is given the rules of a game (described as a logic program) t... 详细信息
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Constructing generative logical models for optimisation problems using domain knowledge
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MACHINE LEARNING 2020年 第7期109卷 1371-1392页
作者: Srinivasan, Ashwin Vig, Lovekesh Shroff, Gautam BITS Pilani Dept Comp Sci & Informat Syst Goa Campus Pilani Goa India TCS Res New Delhi India
In this paper we seek to identify data instances with a low value of some objective (or cost) function. Normally posed as optimisation problems, our interest is in problems that have the following characteristics: (a)... 详细信息
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