Results 1 to 10 of about 214,251 (116)
Naturalizing Logic: How Knowledge of Mechanisms Enhances Inductive Inference
Philosophies, 2021 This paper naturalizes inductive inference by showing how scientific knowledge of real mechanisms provides large benefits to it. I show how knowledge about mechanisms contributes to generalization, inference to the best explanation, causal inference, and
Paul Thagard
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Causal Inference in Radiomics: Framework, Mechanisms, and Algorithms
Frontiers in Neuroscience, 2022 The widespread use of machine learning algorithms in radiomics has led to a proliferation of flexible prognostic models for clinical outcomes. However, a limitation of these techniques is their black-box nature, which prevents the ability for increased ...
Debashis Ghosh +3 more
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Hybrid attention mechanism for few‐shot relational learning of knowledge graphs
IET Computer Vision, 2021 Few‐shot knowledge graph (KG) reasoning is the main focus in the field of knowledge graph reasoning. In order to expand the application fields of the knowledge graph, a large number of studies are based on a large number of training samples.
Ruixin Ma +3 more
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Cognitive architecture for natural language comprehension
Cognitive Computation and Systems, 2020 Human interactions with computers in natural language have always been a challenging task. Numerous computational systems are being designed to bring this interaction as close to the natural language commands as possible.
Sandeep Saini, Vineet Sahula
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High Voltage, 2021 During the installation and laying process of cross‐linked polyethylene (XLPE) cable, it is difficult to avoid the influence of external harsh environment, which leads to insulation deterioration and failure.
Yongpeng Xu +5 more
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IEEE Access, 2020 Semantic interoperability is the process of representing, editing, and transmitting semantic information in one context, and then receiving and interpreting it in another. It is an important research topic in semantic web, Internet of things, smart city,
Shuo Yang, Ran Wei
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Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving
IEEE Open Journal of Intelligent Transportation Systems, 2022 Knowledge representation and reasoning has a long history of examining how knowledge can be formalized, interpreted, and semantically analyzed by machines.
Lukas Westhofen +4 more
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An efficient loop tiling framework for convolutional neural network inference accelerators
IET Circuits, Devices and Systems, 2022 Convolutional neural networks (CNNs) have been widely applied in the field of computer vision due to their inherent advantages in image feature extraction.
Hongmin Huang +3 more
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Study on uncertainty reasoning of running reliability testing face to CNC machine
The Journal of Engineering, 2019 It is necessary to test the reliability of the operation of the machine itself for meeting the high-speed, ultra-precision, flexible, and other modern manufacturing and processing needs.
Guoxin Wu +3 more
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Conundrum of fault detection in active hybrid AC–DC distribution networks
The Journal of Engineering, 2020 Fault detection in hybrid AC–DC distribution networks is a challenging problem due to various sources of uncertainty and high degrees of complexity. A few well-known sources that instil uncertainty in the system are stochasticity of energy injected by ...
Shahram Negari, David Xu
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