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

Introduction to Learning01:18

Introduction to Learning

428
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
428
Purposive Learning01:22

Purposive Learning

121
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
121
Observational Learning01:12

Observational Learning

181
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...
181
Associative Learning01:27

Associative Learning

388
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
388
Cognitive Learning01:21

Cognitive Learning

243
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
243
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

566
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
566

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

A Comprehensive HLA-DR4 MHC Class II Tetramer Platform for the Detection and Functional Validation of Post-Translational Modification Neoantigens.

International journal of molecular sciences·2026
Same author

Ubiquitin-specific protease 11 promotes tubular cell senescence via inhibiting p53 ubiquitin degradation during renal fibrosis.

Cellular signalling·2026
Same author

Uremic toxins promote renal fatty acid synthesis and fibrosis via activating aryl hydrocarbon receptor.

Nature communications·2026
Same author

Clinical Associations of Cerebrospinal Fluid TMEM106B in Familial and Sporadic Frontotemporal Dementia.

JAMA neurology·2026
Same author

Neurocritical progression in amyotrophic lateral sclerosis: pathological relevance and validation.

Open life sciences·2026
Same author

Biosynthesized Silk-Amyloid-Mussel Proteins as Dissolution Recyclable Materials With Tunable Supercontraction.

Advanced materials (Deerfield Beach, Fla.)·2026

相关实验视频

Updated: Jul 7, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.6K

BAL:为积极学习平衡多样性和新性

Jingyao Li, Pengguang Chen, Shaozuo Yu

    IEEE transactions on pattern analysis and machine intelligence
    |December 22, 2023
    PubMed
    概括

    积极学习战略地标记数据以最大限度地提高性能. 一种名为"平衡主动学习" (BAL) 的新方法使用自主监督功能和一种新的指标来平衡数据多样性和不确定性,其性能优于现有的方法.

    科学领域:

    • 机器学习 机器学习
    • 人工智能的人工智能
    • 数据科学数据科学数据科学

    背景情况:

    • 积极学习 (AL) 旨在在预算限制范围内优化数据标签.
    • 利用自主监督学习功能可以提高AL的表现.
    • 识别和平衡数据多样性和不确定性对于有效的AL至关重要.

    研究的目的:

    • 引入一个新的框架,平衡主动学习 (BAL),用于战略数据子集的选择.
    • 开发一个指标,集群距离差异,以量化数据多样性.
    • 在各种标签预算中,与最先进的 (SOTA) 方法对比BAL的表现.

    主要方法:

    • 利用自主监督学习来提取数据特征.
    • 为数据多样性评估提出了集群距离差异指标.
    • 开发了平衡主动学习 (BAL) 框架,使用适应性子池来平衡数据.

    主要成果:

    • BAL表现出卓越的表现,在基准指标上超过1.20%的既定AL方法.
    • 即使只有80%的样本被标记,BAL也保持了与完整数据集标记相匹配的性能.
    • 拟议的框架在扩展标签预算场景中显示出强大的有效性.

    更多相关视频

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    3.8K
    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
    10:43

    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

    Published on: June 10, 2021

    5.4K

    相关实验视频

    Last Updated: Jul 7, 2025

    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
    08:05

    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

    Published on: June 30, 2020

    7.6K
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    3.8K
    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
    10:43

    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

    Published on: June 10, 2021

    5.4K

    结论:

    • 平衡主动学习 (BAL) 框架在有效的数据标签方面取得了重大进展.
    • BAL有效地平衡了数据多样性和不确定性,从而提高了模型性能.
    • BAL为主动学习提供了可扩展和有效的解决方案,特别是在有限的标签预算下.