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Produktbild: Knowledge Science, Engineering and Management
Band 14120 - 10%

Knowledge Science, Engineering and Management 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV

Aus der Reihe Lecture Notes in Artificial Intelligence
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76,99 € UVP 85,59 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.08.2023

Abbildungen

XXIV, 471 p. 124 illus., 112 illus. in color.

Herausgeber

Zhi Jin + weitere

Verlag

Springer

Seitenzahl

471

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

744 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-40291-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.08.2023

Abbildungen

XXIV, 471 p. 124 illus., 112 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

471

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

744 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-40291-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Knowledge Science, Engineering and Management
  • 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.