The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022.
The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:
Volume I: Knowledge Science with Learning and AI (KSLA)
Volume II: Knowledge Engineering Research and Applications (KERA)
Volume III: Knowledge Management with Optimization and Security (KMOS)
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022.The169full papers presented in these proceedings were carefully reviewed and selected from498submissions. The papers are organized in the following topical sections:Volume I:Knowledge Science with Learning and AI (KSLA)Volume II:Knowledge Engineering Research and Applications (KERA)Volume III:Knowledge Management with Optimization and Security (KMOS) 720 pp. Englisch. N° de réf. du vendeur 9783031109850
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Taschenbuch. Etat : Neu. Knowledge Science, Engineering and Management | 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II | Gerard Memmi (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xv | Englisch | 2022 | Springer | EAN 9783031109850 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 122013871
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿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 KeyphraseGeneration 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 720 pp. Englisch. N° de réf. du vendeur 9783031109850
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022.The169full papers presented in these proceedings were carefully reviewed and selected from498submissions. The papers are organized in the following topical sections:Volume I:Knowledge Science with Learning and AI (KSLA)Volume II:Knowledge Engineering Research and Applications (KERA)Volume III:Knowledge Management with Optimization and Security (KMOS). N° de réf. du vendeur 9783031109850
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