Results 61 to 70 of about 8,702,475 (256)
Building machines that learn and think about morality [PDF]
, 2018 Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity
Burr, Christopher, Keeling, Geoff
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When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
, 2019 Discovering and exploiting the causality in deep neural networks (DNNs) are crucial challenges for understanding and reasoning causal effects (CE) on an explainable visual model.
Chen, Pin-Yu +4 more
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THE MODEL FOR E-TEACHING ENGLISH REASONING WRITING TO LAW STUDENTS BASED ON LMS MOODLE
Інформаційні технології і засоби навчання, 2020 The article deals with theoretical substantiation and practical elaboration of the model for e-teaching English reasoning writing to law students based on LMS Moodle.
Інна Сергіївна Заярна
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International Journal of Computational Intelligence Systems, 2022 With the expansion of the epidemic, online multimedia teaching has become a common trend. The reasoning model of multimedia teaching evaluation is a useful tool to infer the result of teaching effects and predict the tendency.
Yifan Lu +5 more
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PendipaPenelitian ini adalah penelitian quasi eksperimen dengan desain penelitian one shot case study dengan sampel dalam penelitian ini adalah mahasiswa Program Studi Pendidikan Matematika Univeritas HKBP Nommensen Pematangsiantar yang berjumlah 30 orang yang ...
Theresia Monika Siahaan +1 more
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Mathematical Reasoning Ability of Male and Female Students in Problem Base Learning
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Considering the objectives and standards of the mathematics learning process, mathematical reasoning is an ability that students are expected to have.
Habibi Ratu Perwira Negara
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FiLM: Visual Reasoning with a General Conditioning Layer
, 2017 We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. FiLM layers influence neural network computation via a simple, feature-wise affine transformation based on conditioning information.
Courville, Aaron +4 more
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Few-shot Relation Reasoning Model Based on Graph Neural Network and Meta-Learning [PDF]
Jisuanji gongchengKnowledge graph relation reasoning aims to infer missing links between entities. Current knowledge graph relation reasoning models perform poorly when reasoning with few-shot relations and struggle to reason for entities that are not seen during training.
LIU Wenjie, CHEN Liang, REN Zhijie
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Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis [PDF]
, 2005 In this paper, a neural network implementation for a fuzzy logic-based model of the diagnostic process is proposed as a means to achieve accurate student diagnosis and updates of the student model in Intelligent Learning Environments.
Grigoriadou, M. +3 more
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The role of modeling in troubleshooting: an example from electronics
, 2015 Troubleshooting systems is integral to experimental physics in both research and instructional laboratory settings. The recently adopted AAPT Lab Guidelines identify troubleshooting as an important learning outcome of the undergraduate laboratory ...
Dounas-Frazer, Dimitri R. +3 more
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