Knowledge science, engineering and m...
KSEM (Conference) (2023 :)

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  • Knowledge science, engineering and management = 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023 : proceedings.. Part IV /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Knowledge science, engineering and management/ edited by Zhi Jin ... [et al.].
    其他題名: 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023 : proceedings.
    其他題名: KSEM 2023
    其他作者: Jin, Zhi.
    團體作者: KSEM (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xxiv, 471 p. :ill. (some col.), digital ;24 cm.
    內容註: Emerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis.
    Contained By: Springer Nature eBook
    標題: Knowledge acquisition (Expert systems) - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-40292-0
    ISBN: 9783031402920
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W9459875 電子資源 11.線上閱覽_V 電子書 EB QA76.76.E95 K77 2023 一般使用(Normal) 在架 0
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