Cargando…

Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning

Few-shot learning is a method to acquire learning ability in a small amount of sample data scenarios. This paper aims to study an online and offline interaction model applied to international Chinese education and teaching based on the few-shot learning method. It first expounds an overview of inter...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cao, Fei, Cai, Jing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098278/ https://www.ncbi.nlm.nih.gov/pubmed/35571696 http://dx.doi.org/10.1155/2022/8281670

Ejemplares similares

Retracted: Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning
por: Yang, Shuangming, et al.
Publicado: (2022)

FewJoint: few-shot learning for joint dialogue understanding
por: Hou, Yutai, et al.
Publicado: (2022)

Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning
por: Teng, Long, et al.
Publicado: (2020)

Learning few-shot imitation as cultural transmission
por: Bhoopchand, Avishkar, et al.
Publicado: (2023)

Application of New Sensor Technology and Few-Shot Learning in Education Based on IoT Era
por: Feng, Jianwen
Publicado: (2022)

Optimizing Few-Shot Learning Based on Variational Autoencoders
por: Wei, Ruoqi, et al.
Publicado: (2021)

Medical education in post-pandemic times: Online or offline mode of learning?
por: Rastogi, Aayushi, et al.
Publicado: (2022)

Study on the evolution of Chinese characters based on few-shot learning: From oracle bone inscriptions to regular script
por: Wang, Mengru, et al.
Publicado: (2022)

Few-shot learning: temporal scaling in behavioral and dopaminergic learning
por: Burke, Dennis A, et al.
Publicado: (2023)

Few-shot learning for joint model in underwater acoustic target recognition
por: Tian, Shengzhao, et al.
Publicado: (2023)

High-Dimensional Separability for One- and Few-Shot Learning
por: Gorban, Alexander N., et al.
Publicado: (2021)

Meta-Learning for Few-Shot Plant Disease Detection
por: Chen, Liangzhe, et al.
Publicado: (2021)

Epilepsy seizure prediction with few-shot learning method
por: Nazari, Jamal, et al.
Publicado: (2022)

Few-shot deep learning for AFM force curve characterization of single-molecule interactions
por: Waite, Joshua R., et al.
Publicado: (2023)

Application Optimization of University Aesthetic Education Resources Based on Few-Shot Learning from the Perspective of Ecological Aesthetic Education
por: Liu, Yang
Publicado: (2022)

Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition
por: Matindife, L., et al.
Publicado: (2022)

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks
por: Qu, Dixin
Publicado: (2022)

Efficient few-shot machine learning for classification of EBSD patterns
por: Kaufmann, Kevin, et al.
Publicado: (2021)

Insights into few shot learning approaches for image scene classification
por: Soudy, Mohamed, et al.
Publicado: (2021)

Multiobject Tracking of Wildlife in Videos Using Few-Shot Learning
por: Feng, Jiangfan, et al.
Publicado: (2022)

Neural representational geometry underlies few-shot concept learning
por: Sorscher, Ben, et al.
Publicado: (2022)

Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain
por: Lin, Hong, et al.
Publicado: (2022)

Few-Shot Learning for WiFi Fingerprinting Indoor Positioning
por: Ma, Zhenjie, et al.
Publicado: (2023)

Editorial: Online and Offline Modulators of Motor Learning
por: Vahdat, Shahabeddin, et al.
Publicado: (2017)

The Effect of Offline Medical Resource Distribution on Online Physician-Patient Interaction: Empirical Study With Online and Offline Data
por: Guo, Shanshan, et al.
Publicado: (2023)

Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning
por: Chen, Qingjie, et al.
Publicado: (2022)

Few-Shot Emergency Siren Detection
por: Cantarini, Michela, et al.
Publicado: (2022)

English Research Learning and Functional Research Based on Constructivism Theory and Few-Shot Learning
por: Li, Chengyun
Publicado: (2022)

Automated classification of polyps using deep learning architectures and few-shot learning
por: Krenzer, Adrian, et al.
Publicado: (2023)

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms
por: Li, Ran, et al.
Publicado: (2020)

3D Digital Model of Folk Dance Based on Few-Shot Learning and Gesture Recognition
por: Zhang, Ning
Publicado: (2022)

A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media
por: Lu, Heng-yang, et al.
Publicado: (2021)

ARIMA Model and Few-Shot Learning for Vehicle Speed Time Series Analysis and Prediction
por: Wang, Yingzi, et al.
Publicado: (2022)

Few-Shot Rolling Bearing Fault Diagnosis with Metric-Based Meta Learning
por: Wang, Sihan, et al.
Publicado: (2020)

Few-shot cotton leaf spots disease classification based on metric learning
por: Liang, Xihuizi
Publicado: (2021)

Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset
por: Pałczyński, Krzysztof, et al.
Publicado: (2022)

Cross-domain few-shot learning based on pseudo-Siamese neural network
por: Gong, Yuxuan, et al.
Publicado: (2023)

Unsupervised Few-Shot Feature Learning via Self-Supervised Training
por: Ji, Zilong, et al.
Publicado: (2020)

Word Embedding Distribution Propagation Graph Network for Few-Shot Learning
por: Zhu, Chaoran, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_rc5gqeqfk4abdbuvindstqa119