Knowledge science, engineering and m...
KSEM (Conference) (2021 :)

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  • Knowledge science, engineering and management = 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.. Part I /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Knowledge science, engineering and management/ edited by Gerard Memmi ... [et al.].
    Reminder of title: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.
    remainder title: KSEM 2022
    other author: Memmi, Gerard.
    corporate name: KSEM (Conference)
    Published: Cham :Springer International Publishing : : 2022.,
    Description: xxviii, 753 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Knowledge Science with Learning and AI (KSLA) -- A decoupled YOLOv5 with deformable convolution and multi-scale attention -- OTE: An Optimized Chinese Short Text Matching Algorithm based on External Knowledge -- KIR: A Knowledge­-enhanced Interpretable Recommendation Method -- ICKEM: a tool for estimating one's understanding of conceptual knowledge -- Cross-perspective Graph Contrastive Learning -- A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction -- Pre-train Unified Knowledge Graph Embedding with Ontology -- Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection -- A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks -- Construction Research and Applications of Industry Chain Knowledge Graphs -- Query and Neighbor-aware Reasoning based Multi-hop Question Answering over Knowledge Graph -- Question Answering over Knowledge Graphs with Query Path Generation -- Improving Parking Occupancy Prediction in Poor Data Conditions through Customization and Learning to Learn -- Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network -- Answering Complex Questions on Knowledge Graphs -- Multi-Attention User Information Based Graph Convolutional Networks for Explainable Recommendation -- Edge-shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule.
    Contained By: Springer Nature eBook
    Subject: Knowledge acquisition (Expert systems) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-10983-6
    ISBN: 9783031109836
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W9444038 電子資源 11.線上閱覽_V 電子書 EB QA76.76.E95 K74 2021 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
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