Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Observational Learning01:12

Observational Learning

188
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
188

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

GPx6 downregulation drives ferroptosis in Kashin-Beck disease chondrocytes via the SLC7A11/GPx4 axis.

Apoptosis : an international journal on programmed cell death·2026
Same author

Multiple Twin Boundaries in Co-Free Li-Rich Mn-Based Cathodes Constructed by Na-Assisted Sol-Gel Synthesis for Enhanced Electrochemical Performance.

Nanomaterials (Basel, Switzerland)·2026
Same author

Selenoprotein S deficiency activates Wnt/β-catenin signaling causing impaired terminal chondrocyte differentiation in Kashin-Beck disease.

International immunopharmacology·2026
Same author

Estimating Daily Taxon-specific Tree Pollen at a 1-km Resolution in Atlanta, GA from 2020 to 2024.

bioRxiv : the preprint server for biology·2026
Same author

Claims-Identified Mental Health and Substance Use Disorders in Medicare.

JAMA health forum·2026
Same author

EEG microstate dynamics and metal metabolism in Parkinson's disease dementia: An exploratory study with machine learning-assisted sensitivity analysis.

Brain research bulletin·2026
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: Jul 11, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K

自主监督的3D行为表现学习基于同位素的超标嵌入.

Jinghong Chen, Zhihao Jin, Qicong Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |November 2, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的自我监督学习方法,使用超标嵌入来分析复杂的行为轨迹. 它有效地捕捉了没有负样本的非线性关系,改善了无监督学习的表现.

    更多相关视频

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
    09:46

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

    Published on: May 10, 2012

    12.7K
    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
    05:41

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

    Published on: February 6, 2020

    9.4K

    相关实验视频

    Last Updated: Jul 11, 2025

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.3K
    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
    09:46

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

    Published on: May 10, 2012

    12.7K
    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
    05:41

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

    Published on: February 6, 2020

    9.4K

    科学领域:

    • 计算机科学 计算机科学
    • 机器学习 机器学习
    • 人工智能的人工智能

    背景情况:

    • 行为序列表现出复杂的时空相互作用和高维非线性结构.
    • 学习3D行为表征通常需要监督信号,这些信号通常是不可用的.
    • 现有的自我监督方法在传统的欧几里德空间中难以捕捉联合特征.

    研究的目的:

    • 开发一种自我监督的学习方法,用于在行为轨迹中挖掘非线性关系.
    • 克服欧几里德空间在表示上下文的局限性.
    • 改进3D行为表现的无监督学习.

    主要方法:

    • 提出了一种基于行为轨迹的超标嵌入的自我监督学习方法.
    • 采用对比式学习,专注于全球特征,并抛弃负面样本.
    • 利用过度的空间嵌入和多层感知子用于同位素映射.

    主要成果:

    • 超标嵌入方法有效地挖掘行为数据中的非线性关系.
    • 该框架避免了与在特征空间中将相似数据分开相关的问题.
    • 在无监督学习行为表征方面取得了更好的表现.

    结论:

    • 超标嵌入与对比学习相结合,为无监督行为表示学习提供了一种强大的方法.
    • 该方法利用过度波动的多元体和同质组的几何性质来增强学习.
    • 这种方法为网络提供了更好的监督信号,推进了无监督学习能力.