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

300
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...
300
Law of Independent Assortment02:03

Law of Independent Assortment

54.7K
While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
54.7K
The Representativeness Heuristic02:13

The Representativeness Heuristic

15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.8K
Fundamental Attribution Error01:14

Fundamental Attribution Error

12.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.8K
Attribution Theory00:56

Attribution Theory

12.9K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
12.9K
Force Classification01:22

Force Classification

1.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.1K

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

Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2026
Same author

Monitoring cancer-related fatigue and quality of life in breast and prostate cancer patients after primary treatment: a study protocol for the REBECCA trials in Norway.

Clinical and experimental medicine·2026
Same author

Digital and AI-assisted multimodal supportive care, combining physical activity, nutrition, and pain management during chemotherapy for advanced pancreatic cancer patients: study protocol of the European multicenter randomized controlled trial of the RELEVIUM project.

BMC cancer·2025
Same author

Altered Gating of Two Ca<sub>V</sub>2.1 Variants Linked to Neurodevelopmental Disorders With Epilepsy and Migraine.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2025
Same author

Classroom teaching versus online teaching in physiology practical course - does this lead to different examination results?

GMS journal for medical education·2025
Same author

A System for Objectively Measuring Behavior and the Environment to Support Large-Scale Studies on Childhood Obesity.

IEEE journal of biomedical and health informatics·2025

相关实验视频

Updated: Jun 9, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.8K

FLAC:通过抑制属性-类协会来学习公平意识的代表性.

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos

    IEEE transactions on pattern analysis and machine intelligence
    |October 28, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了FLAC,这是一种用于训练公平计算机视觉模型的新方法,而不需要受保护的属性标签. 在各种数据集上,FLAC显著提高了公平性和准确性,超过了现有的技术.

    更多相关视频

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.4K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K

    相关实验视频

    Last Updated: Jun 9, 2025

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    11.8K
    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.4K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 人工智能伦理学 人工智能伦理学

    背景情况:

    • 计算机视觉系统中的偏差可以使社会歧视延续.
    • 现有的公平性方法通常需要受保护的属性标签,限制其实际使用.
    • 标签不知情的公平性方法通常会产生较低的绩效.

    研究的目的:

    • 引入FLAC (Fairness through Learning Attribute Correlations),这是一个用于培训公平计算机视觉模型的新方法.
    • 开发一种标签无意识的方法,尽量减少偏见,而不依赖于受保护的属性标签.
    • 在各种数据集上提高计算机视觉模型的公平性和准确性.

    主要方法:

    • 在不使用属性标签的情况下,FLAC尽量减少模型特征和受保护属性之间的相互信息.
    • 它采用抽样策略,强调代表性不足的数据样本.
    • 该方法将公平性作为一种使用偏差捕获分类器的概率匹配问题.

    主要成果:

    • 在Biased-MNIST,CelebA和UTKFace上,FLAC实现了最先进的性能,远远超过现有方法 (29.1%,18.1%,21.9%).
    • 这种方法在ImageNet-A (2.2%) 和Corrupted-Cifar10 (高达4.2%) 上显示出更好的准确性.
    • 在实验评估中,FLAC通常甚至在偏见标签意识的最先进方法中表现优于FLAC.

    结论:

    • 即使没有明确的标签,FLAC也有效地学习独立于受保护属性的公平表示.
    • 该方法为缓解计算机视觉偏差提供了一种实用且高性能的解决方案.
    • FLAC代表了开发公平的人工智能系统的重大进步.