Titlebook: Knowledge Science, Engineering and Management; 17th International C Cungeng Cao,Huajun Chen,Yonghao Wang Conference proceedings 2024 The Ed

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DVDNER: Dual-View Learning Named Entity Recognition via Diffusionrepancy between training and evaluation environments, leading to suboptimal model performance. To tackle this, we propose . (.ual-.iew Learning .amed .ntity .ecognition via .iffusion), a novel approach that reconceptualizes NER through a boundary-denoising diffusion paradigm. DVDNER is equipped with

remission

音乐戏剧

SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filteringxisting methodologies primarily aggregate information from direct neighbors via graph neural networks, a process which can inadvertently introduce noise. To address this challenge, we introduce SSNF, an innovative neighbor filtering mechanism that optimally balances structural and semantic informati

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Feature Matching Based Heterogeneous Transfer Learning for Student Performance Prediction. However, most works concentrate on homogeneous transfer learning, therefore they cannot solve the feature heterogeneity between source and target domains. A heterogeneous transfer learning algorithm with feature matching based on correlation coefficients and fine-tuning (FMBCC-FT) is proposed. FMB

决定性

Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagins in the field of fault diagnosis. Most of these methods assume that data samples from the source domain are accessible for model training. However, in practical machine monitoring scenarios, obtaining direct access to source domain samples is often unfeasible, posing significant challenges for tr

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Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classificationined Language Models (PLMs). Recently, the proliferation of PLMs has made it increasingly challenging to choose the most suitable model for a given dataset. Since fine-tuning the sheer number of models is impractical, Transferability Estimation (TE) has become the promising solution to efficient mod

persistence

A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing This intricate challenge involves fleets for linehaul and backhaul demands in a dual-tier logistics setup. The primary fleet transports goods between the depot and satellites, while the feeder-line fleet serves satellites and customers. The NP-hard nature of the vehicle routing problem (VRP) is com

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Organization

als regierender Herzog. Daß er überdurchschnittlich begabt war, bestätigen für seine Jugend Friedrich der Große, Goethe für sein Alter. Schiller äußerte, als er den Leichenzug Karl Eugens unter den Fenstern seiner Wohnung in Ludwigsburg vorüberziehen sah, mit Tränen in den Augen: „Ach Gott, nun ist