Knowledge management and acquisition...
Pacific Rim Knowledge Acquisition Workshop (2020 :)

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  • Knowledge management and acquisition for intelligent systems = 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7-8, 2021 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Knowledge management and acquisition for intelligent systems/ edited by Hiroshi Uehara, Takayasu Yamaguchi, Quan Bai.
    其他題名: 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7-8, 2021 : proceedings /
    其他題名: PKAW 2020
    其他作者: Uehara, Hiroshi.
    團體作者: Pacific Rim Knowledge Acquisition Workshop
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: x, 187 p. :ill. (some col.), digital ;24 cm.
    內容註: Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks -- Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data -- ERA: Extracting planning macro-operators from adjacent and non-adjacent sequences -- Deep Neural Network Incorporating CNN and MF for Item-based Fashion Recommendation -- C-LIME: A Consistency-oriented LIME for Time-series Health-Risk Predictions -- Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction -- Stabilizing the Predictive Performance for Ear Emergence in Rice Crops across Cropping Regions -- Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem -- Attributed Heterogeneous Network Embedding for Link Prediction -- Automatic Generation and Classification of Malicious FQDN -- Analyzing Temporal Change in LoRa Communication Quality Using Massive Measurement Data -- Challenge Closed-Book Science Exam: A Meta-Learning Based Question Answering System -- Identification of B2B Brand Components and their Performance's Relevance Using a Business Card Exchange Network -- Semi-Automatic Construction of Sight Words Dictionary for Filipino Text Readability -- Automated Concern Exploration in Pandemic Situations - COVID-19 as a Use Case.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-69886-7
    ISBN: 9783030698867
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W9399924 電子資源 11.線上閱覽_V 電子書 EB Q334 .P33 2020 一般使用(Normal) 在架 0
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