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检索条件"主题词=INDUCTIVE LOGIC PROGRAMMING"
524 条 记 录,以下是31-40 订阅
排序:
Application of inductive logic programming to produce emergent behavior in an artificial society  3
Application of inductive logic programming to produce emerge...
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3rd IIAI International Conference on Advanced Applied Informatics (IIAI-AAI)
作者: Komura, Keigo Mutoh, Atsuko Inuzuka, Nobuhiro Nagoya Inst Technol Grad Sch Engn Dept Comp Sci & Engn Nagoya Aichi Japan
Artificial society is a discipline to study mechanisms of social system and phenomena which the mechanisms make. Emergence is global phenomena occurred by local mechanisms, such as, by collective behavior of autonomou... 详细信息
来源: 评论
Ontology Population from the Web: an inductive logic programming-Based Approach
Ontology Population from the Web: an Inductive Logic Program...
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11th International Conference on Information Technology - New Generations (ITNG)
作者: Lima, Rinaldo Oliveira, Hilario Freitas, Fred Espinasse, Bernard Univ Fed Pernambuco Informat Ctr Recife PE Brazil Aix Marseille Univ LSIS Marseille France
The rapid growth of the Web and the information overload problem demand the development of practical information extraction (IE) solutions for web content processing. Ontology Population (OP) concerns both the extract... 详细信息
来源: 评论
Efficient Program Synthesis Using Constraint Satisfaction in inductive logic programming
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JOURNAL OF MACHINE LEARNING RESEARCH 2013年 第12期14卷 3649-3682页
作者: Ahlgren, John Yuen, Shiu yin City Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China
We present NrSample, a framework for program synthesis in inductive logic programming. NrSample uses propositional logic constraints to exclude undesirable candidates from the search. This is achieved by representing ... 详细信息
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A Hardware Approach For Accelerating inductive Learning In Description logic
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ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 2024年 第4期23卷 1-37页
作者: Algahtani, Eyad King Saud Univ Riyadh Saudi Arabia
The employment of Machine Learning (ML) techniques in embedded systems has seen constant growth in recent years, especially for black-box ML techniques (such as Artificial Neural Networks (ANNs)). However, despite the... 详细信息
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Object Identity Reloaded-A Comprehensive Reference for an Efficient and Effective Framework for logic-Based Machine Learning
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ELECTRONICS 2025年 第8期14卷 1523-1523页
作者: Ferilli, Stefano Univ Bari Dept Comp Sci Via E Orabona 4 I-70125 Bari Italy
Sub-symbolic Machine Learning (ML) techniques, and specifically Neural Network-based ones, recently took over the research landscape, thanks to their efficiency and impressive effectiveness. On the other hand, the rec... 详细信息
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inductive learning of robot task knowledge from raw data and online expert feedback
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MACHINE LEARNING 2025年 第4期114卷 1-33页
作者: Meli, Daniele Fiorini, Paolo Univ Verona Dept Comp Sci Verona Italy Univ Verona Dept Engn Innovat Med Str Le Grazie 15 I-37135 Verona Italy
The increasing level of autonomy of robots poses challenges of trust and social acceptance, especially in human-robot interaction scenarios. This requires an interpretable implementation of robotic cognitive capabilit... 详细信息
来源: 评论
MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description logic
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IEEE ACCESS 2024年 12卷 89113-89123页
作者: Algahtani, Eyad King Saud Univ Coll Appl Comp Sci Dept Informat Syst Riyadh 145111 Saudi Arabia
We 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... 详细信息
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Composition of relational features with an application to explaining black-box predictors
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MACHINE LEARNING 2024年 第3期113卷 1091-1132页
作者: Srinivasan, Ashwin Baskar, A. Dash, Tirtharaj Shah, Devanshu BITS Pilani Dept CS&IS KK Birla Goa Campus Pilani Goa India BITS Pilani APPCAIR Pilani Goa India Univ Calif San Diego San Diego CA USA
Three key strengths of relational machine learning programs like those developed in inductive logic programming (ILP) are: (1) The use of an expressive subset of first-order logic that allows models that capture compl... 详细信息
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Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach
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MACHINE LEARNING 2024年 第7期113卷 4579-4614页
作者: Bueff, Andreas Belle, Vaishak Univ Edinburgh Sch Informat 11 Crichton St Edinburgh EH8 9LE Scotland
Deep neural networks, despite their capabilities, are constrained by the need for large-scale training data, and often fall short in generalisation and interpretability. inductive logic programming (ILP) presents an i... 详细信息
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Ethical Decision-Making Framework Based on Incremental ILP Considering Conflicts
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Computers, Materials & Continua 2024年 第3期78卷 3619-3643页
作者: Xuemin Wang Qiaochen Li Xuguang Bao Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin541004China
Humans are experiencing the inclusion of artificial agents in their lives,such as unmanned vehicles,service robots,voice assistants,and intelligent medical *** the artificial agents cannot align with social values or ... 详细信息
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