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

Associative Learning01:27

Associative Learning

370
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...
370
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

175
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...
175
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

559
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...
559
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

519
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
519

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 framework for assessing carbon effect of land consolidation with life cycle assessment: A case study in China.

Journal of environmental management·2020
Same author

Precise control of the interlayer twist angle in large scale MoS<sub>2</sub> homostructures.

Nature communications·2020
Same author

Atomic-Precision Repair of a Few-Layer 2H-MoTe<sub>2</sub> Thin Film by Phase Transition and Recrystallization Induced by a Heterophase Interface.

Advanced materials (Deerfield Beach, Fla.)·2020
Same author

A single molecular sensor for selective and differential colorimetric/ratiometric detection of Cu<sup>2+</sup> and Pd<sup>2+</sup> in 100% aqueous solution.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2020
Same author

Effect of extracellular polymer substances on the tetracycline removal during coagulation process.

Bioresource technology·2020
Same author

Identification and Comparison of Tannins in Gall of Rhus chinensis Mill. and Gall of Quercus infectoria Oliv. by High-Performance Liquid Chromatography-Electrospray Mass Spectrometry.

Journal of chromatographic science·2020

相关实验视频

Updated: Jul 4, 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

一个时间一致的课程,从依赖实例的噪音标签学习.

Songhua Wu, Tianyi Zhou, Yuxuan Du

    IEEE transactions on pattern analysis and machine intelligence
    |February 1, 2024
    PubMed
    概括

    这项研究引入了一种新的方法来训练具有依赖实例的噪声标签的机器学习模型,通过联合训练一个噪声逆转模型和一个强大的分类器. 一个时间一致性的课程可以提高在具有挑战性的噪音标签场景中的表现.

    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:

    • 机器学习算法经常与杂的标签扎,特别是当噪音依赖实例时.
    • 现实世界的噪音标签源于复杂的,实例特定的机制,对模型稳定性构成重大挑战.

    研究的目的:

    • 为了应对机器学习中依赖实例的噪音标签的挑战.
    • 开发一种新的端到端培训方法,用于从噪音数据中进行可靠的分类.

    主要方法:

    • 共同培训一个可以逆转噪声产生机制的模型和一个强大的分类器.
    • 使用清洁和噪音标签之间的依赖实例映射.
    • 开发一个时间一致性课程,根据模型输出动态选择信息培训数据.

    主要成果:

    • 拟议的方法证明了在依赖实例的噪音标签上强大的分类性能.
    • 时间一致性课程通过提供高质量的数据显著增强了培训.
    • 在挑战杂的标签设置方面超越了最先进的方法.

    结论:

    • 一个噪音逆转模型和一个强大的分类器的联合训练对于依赖实例的噪音标签是有效的.

    更多相关视频

    Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
    07:31

    Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

    Published on: February 8, 2019

    6.6K
    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
    05:48

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

    Published on: August 9, 2024

    1.5K

    相关实验视频

    Last Updated: Jul 4, 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
    Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
    07:31

    Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

    Published on: February 8, 2019

    6.6K
    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
    05:48

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

    Published on: August 9, 2024

    1.5K
  • 数据的时间一致性对于成功的培训至关重要,基于它的课程可以提高绩效.
  • 该方法为具有固有的数据噪声的真实世界机器学习应用提供了有前途的解决方案.