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Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II

Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II (Paperback)

Baijian Yang, Meikang Qiu, Gerard Memmi, Linghe Kong, Tianwei Zhang (엮은이)
Springer
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Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II
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책 정보

· 제목 : Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II (Paperback) 
· 분류 : 외국도서 > 교육/자료 > 교육 > 컴퓨터/기술
· ISBN : 9783031109850
· 쪽수 : 701쪽
· 출판일 : 2022-07-31

목차

?Knowledge Engineering Research and Applications (KERA).- Multi-View Heterogeneous Network Embedding.- A Multi-level Attention-based LSTM Network for Ultra-short-term Solar Power Forecast using Meteorological Knowledge.- Unsupervised Person Re-ID via Loose-Tight Alternate Clustering.- Sparse Dense Transformer Network for Video Action Recognition.- Deep User Multi-Interest Network for Click-Through Rate Prediction.- Open Relation Extraction via Query-based Span Prediction.- Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations.- Mario Fast Learner: Fast and Efficient solutions for Super Mario Bros.- Few-shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering.- Data-driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel.- Deep-to-bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation.- Topic and Reference Guided Keyphrase Generation from Social Media.- DISEL: A Language for Specifying DIS-based Ontologies.- MSSA-FL:High-Performance Multi-Stage Semi-Asynchronous Federated Learning with Non-IID Data.- A GAT-based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences.- Incorporating Explanation to Balance the Exploration and Exploitation of Deep Reinforcement Learning.

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