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检索条件"主题词=INDUCTIVE LOGIC PROGRAMMING"
524 条 记 录,以下是11-20 订阅
排序:
A Review of inductive logic programming Applications for Robotic Systems  1
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32nd International Conference on inductive logic programming (ILP)
作者: Youssef, Youssef Mahmoud Mueller, Martin E. Hsch Bonn Rhein Sieg Grantham Allee 20 D-53757 Bonn Germany
This study presents a review of applications of inductive logic programming (ILP) for robotic systems. The aim of the paper is to demonstrate the different methods of applying ILP to a robotic system and to also highl... 详细信息
来源: 评论
A Comparative Study of Three Neural-Symbolic Approaches to inductive logic programming  16th
A Comparative Study of Three Neural-Symbolic Approaches to I...
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16th International Conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Beretta, Davide Monica, Stefania Bergenti, Federico Univ Parma Dipartimento Sci Matemat Fis & Informat I-43124 Parma Italy Univ Modena & Reggio Emilia Dipartimento Sci & Metodi Ingn I-42122 Reggio Emilia Italy
An interesting feature that traditional approaches to inductive logic programming are missing is the ability to treat noisy and non-logical data. Neural-symbolic approaches to inductive logic programming have been rec... 详细信息
来源: 评论
Towards Relational Multi-Agent Reinforcement Learning via inductive logic programming  1
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31st International Conference on Artificial Neural Networks (ICANN)
作者: Li, Guangxia Xiao, Gang Zhang, Junbo Liu, Jia Shen, Yulong Xidian Univ Sch Comp Sci & Technol Xian Peoples R China Natl Key Lab Complex Syst Simulat Beijing Peoples R China
We present a relational multi-agent reinforcement learning algorithm in which two agents work together to achieve a goal in an environment represented by structured entities and relations. Our proposal takes a hybrid ... 详细信息
来源: 评论
Differentiable neural logic networks and their application onto inductive logic programming
Differentiable neural logic networks and their application o...
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作者: Payani, Ali Georgia Institute of Technology
学位级别:博士
Despite the impressive performance of Deep Neural Networks (DNNs), they usually lack the explanatory power of disciplines such as logic programming. Even though they can learn to solve very difficult problems, the lea... 详细信息
来源: 评论
Overcoming Reinforcement Learning Limits with inductive logic programming  8th
Overcoming Reinforcement Learning Limits with Inductive Logi...
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World Conference on Information Systems and Technologies (WorldCIST)
作者: Rocha, Filipe Marinho Costa, Vitor Santos Reis, Luis Paulo Univ Porto FCUP Fac Ciencias Porto Portugal Univ Porto FEUP Fac Engn Porto Portugal Univ Porto LIACC Lab Inteligencia Artificial & Ciencia Comp Porto Portugal CRACS Ctr Adv Comp Syst INESCTEC Porto Portugal
This work presents some approaches to overcome current Reinforcement Learning limits. We implement a simple virtual environment and some state-of-the-art Reinforcement Learning algorithms for testing and producing a b... 详细信息
来源: 评论
A learning-based ontology alignment approach using inductive logic programming
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EXPERT SYSTEMS WITH APPLICATIONS 2019年 125卷 412-424页
作者: Karimi, Hamed Kamandi, Ali Univ Tehran Coll Engn Sch Engn Sci Tehran Iran
Ontologies are key concepts in the semantic web and have an impressive role which comprise the biggest and the most prominent part of the infrastructure in this realm of web research. By fast growth of the semantic we... 详细信息
来源: 评论
An inductive logic programming Algorithm Based on Artificial Bee Colony
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JOURNAL OF INFORMATION TECHNOLOGY RESEARCH 2019年 第1期12卷 89-104页
作者: Li, Yanjuan Niu, Mengting Guo, Jifeng Northeast Forestry Univ Coll Informat & Comp Engn Harbin Heilongjiang Peoples R China
inductive logic programming (ILP) is a hot research field in machine learning. Although ILP has obtained great success in many domains, in most ILP system, deterministic search are used to search the hypotheses space,... 详细信息
来源: 评论
Active inductive logic programming for Code Search  19
Active Inductive Logic Programming for Code Search
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41st IEEE/ACM International Conference on Software Engineering (ICSE)
作者: Sivaraman, Aishwarya Zhang, Tianyi Van den Broeck, Guy Kim, Miryung Univ Calif Los Angeles Los Angeles CA 90095 USA
Modern search techniques either cannot efficiently incorporate human feedback to refine search results or cannot express structural or semantic properties of desired code. The key insight of our interactive code searc... 详细信息
来源: 评论
Best-effort inductive logic programming via fine-grained cost-based hypothesis generation The Inspire system at the inductive logic programming competition
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MACHINE LEARNING 2018年 第7期107卷 1141-1169页
作者: Schueller, Peter Benz, Mishal Tech Univ Wien Inst Log & Computat Vienna Austria Marmara Univ Fac Engn Istanbul Turkey Karlsruhe Inst Technol Karlsruhe Germany Sabanci Univ Fac Engn & Nat Sci Istanbul Turkey
We describe the Inspire system which participated in the first competition on inductive logic programming (ILP). Inspire is based on answer set programming (ASP). The distinguishing feature of Inspire is an ASP encodi... 详细信息
来源: 评论
Ontology Alignment Using inductive logic programming  4
Ontology Alignment Using Inductive Logic Programming
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4th International Conference on Web Research (ICWR)
作者: Karimi, Hamed Kamandi, Ali Univ Tehran Coll Engn Sch Engn Sci Tehran Iran
Ontologies are one of the important and effective parts of semantic web which constitute the infrastructure and background knowledge of this realm of web science. Finding valid mappings as much as possible between the... 详细信息
来源: 评论