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检索条件"主题词=INDUCTIVE logic programming"
524 条 记 录,以下是1-10 订阅
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inductive logic programming Based Bottlenose Delphin Optimization to Fake New Detection  14
Inductive Logic Programming Based Bottlenose Delphin Optimiz...
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14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
作者: Thangarasu, Gunasekar Alla, Kesava Rao Kannan, K. Nattar IMU Univ Saveetha Inst Med & Tech Sci Saveetha Sch Engn Dept Digital Hlth & Hlth Informat Kuala Lumpur Malaysia MAHSA Univ Saujana Putra Selangor Malaysia Saveetha Inst Med & Tech Sci Saveetha Sch Engn Chennai Tamil Nadu India
The integration of inductive logic programming (ILP) and Bottlenose Dolphin Optimization (BDO) in this research addresses a pressing issue in today's information-saturated landscape: the proliferation of fake news... 详细信息
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inductive logic programming at 30
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MACHINE LEARNING 2022年 第1期111卷 147-172页
作者: Cropper, Andrew Dumancic, Sebastijan Evans, Richard Muggleton, Stephen H. Univ Oxford Oxford England Katholieke Univ Leuven Leuven Belgium Imperial Coll London London England
inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises given training examples and background knowledge. As ILP turns 30, we ... 详细信息
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inductive logic programming for explainable graph clustering  14
Inductive Logic Programming for explainable graph clustering
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14th IEEE International Conference on Knowledge Graph (IEEE ICKG)
作者: Schramm, Simon Schmid, Ute Univ Bamberg Chair Cognit Syst Bamberg Germany BMW Grp Market Forecasting Munich Germany
Graph clustering is a popular method to understand networks and make them accessible for downstream Machine Learning tasks. Especially for large networks, the results of graph clustering are difficult to explain, sinc... 详细信息
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Towards Probabilistic inductive logic programming with Neurosymbolic Inference and Relaxation
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THEORY AND PRACTICE OF logic programming 2024年 第4期24卷 628-643页
作者: Hillerstrom, Fieke Burghouts, Gertjan TNO The Hague Netherlands
Many inductive logic programming (ILP) methods are incapable of learning programs from probabilistic background knowledge, for example, coming from sensory data or neural networks with probabilities. We propose Proppe... 详细信息
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Towards Multimodal Co-Construction of Explanations for Robots: Combining inductive logic programming and Large Language Models to Explain Robot Faults  24
Towards Multimodal Co-Construction of Explanations for Robot...
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Companion International Conference on Multimodal Interaction
作者: Youssef, Youssef Mahmoud Hassan, Teena Bonn Rhein Sieg Univ Appl Sci Dept Comp Sci Rheinbach Germany Bonn Rhein Sieg Univ Appl Sci Inst AI & Autonomous Syst Rheinbach Germany
This paper explores a hybrid approach to the multimodal co-construction of explanations for robot faults, integrating inductive logic programming (ILP) and Large Language Models (LLMs). As AI and robotics continue to ... 详细信息
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Lifting symmetry breaking constraints with inductive logic programming
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MACHINE LEARNING 2022年 第4期111卷 1303-1326页
作者: Tarzariol, Alice Gebser, Martin Schekotihin, Konstantin Univ Klagenfurt Klagenfurt Austria Univ Graz Univ Technol Graz Austria
Efficient omission of symmetric solution candidates is essential for combinatorial problem-solving. Most of the existing approaches are instance-specific and focus on the automatic computation of Symmetry Breaking Con... 详细信息
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Interactive Model Refinement in Relational Domains with inductive logic programming  28
Interactive Model Refinement in Relational Domains with Indu...
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28th Annual Conference on Intelligent User Interfaces (IUI)
作者: Deane, Oliver Ray, Oliver Univ Bristol Bristol Avon England
This paper presents an interactive system for exploring and editing logic-based machine learning models specialised for the relational reasoning problem domain. Prior work has highlighted the value of visual interface... 详细信息
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Learning Strategies of inductive logic programming Using Reinforcement Learning  1
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32nd International Conference on inductive logic programming (ILP)
作者: Isobe, Takeru Inoue, Katsumi SOKENDAI Grad Inst Adv Studies Tokyo Japan Natl Inst Informat Tokyo Japan
Learning settings are crucial for most inductive logic programming (ILP) systems to learn efficiently. Hypothesis spaces can be huge, and ILP systems take a long time to output solutions or even cannot terminate withi... 详细信息
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Efficient inductive logic programming Based on Particle Swarm Optimization  4th
Efficient Inductive Logic Programming Based on Particle Swar...
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4th European-Alliance-for-Innovation (EAI) International Conference on Artificial Intelligence for Communications and Networks (AICON)
作者: Obara, Kyosuke Takimoto, Munehiro Kumazawa, Tsutomu Kambayashi, Yasushi Tokyo Univ Sci Dept Informat Sci Chiba Japan Software Res Associates Inc Toshima Ku Tokyo Japan Nippon Inst Technol Dept Comp & Informat Engn Saitama Japan
inductive logic programming (ILP) is an inductive reasoning method based on the first-order predicative logic. This technology is widely used for data mining using symbolic artificial intelligence. ILP searches for a ... 详细信息
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Generating contrastive explanations for inductive logic programming based on a near miss approach
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MACHINE LEARNING 2022年 第5期111卷 1799-1820页
作者: Rabold, Johannes Siebers, Michael Schmid, Ute Univ Bamberg Cognit Syst Bamberg Germany
In recent research, human-understandable explanations of machine learning models have received a lot of attention. Often explanations are given in form of model simplifications or visualizations. However, as shown in ... 详细信息
来源: 评论