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相关概念视频

Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

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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...
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Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
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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.
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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...
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The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
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相关实验视频

Updated: Jun 16, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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面具-转移-推理:一个新的范式域泛化领域的推理.

Youjia Shao1, Na Tian1, Xinyi Li1

  • 1College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao Shandong 266061, China.

Neural networks : the official journal of the International Neural Network Society
|August 17, 2024
PubMed
概括

域泛化 (DG) 通过学习不变特征来提高模型对新数据的适应性. 新的面具转移推理 (MSI) 方法有效地减少了域间隙,从而实现了强大的分布外通用化.

关键词:
域名通用化域名通用化域名转移 域名转移域名转移域不变表示学习学习域不变表示学习功能频道的特点频道

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科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 计算机视觉 计算机视觉

背景情况:

  • 域泛化 (DG) 旨在创建在未见数据分布 (Out-Of-Distribution或OOD泛化) 上表现良好的模型.
  • 总局的一个关键挑战是,由于源域和目标域之间的转移,学习域不变表示.
  • 现有的方法通常依赖于复杂的约束或优化假设.

研究的目的:

  • 提出一种新的范式,即面具转移推理 (MSI),用于使用卷积神经网络 (CNN) 进行强大的域泛化.
  • 将域不变表示学习的重点转移到潜空间中的特征通道.
  • 为了提高模型的认知能力,以改善概括.

主要方法:

  • 引入了一个由主模块和域特定子模块组成的双分支架构.
  • 不稳定的特征通道在向前传播过程中逐渐被掩盖,以删除特定域的虚假信息.
  • 域样式被转移到最接近的源域,使用里埃变换进行风格匹配,在没有额外的模型更新的情况下最小化域间隙.

主要成果:

  • MSI范式有效地抛弃了不稳定的道,减轻了域位的转移和虚假的相关性.
  • 域风格匹配和转移减少了域间隙,改善了未见的目标域上的模型性能.
  • 在PACS,VLCS,Office-Home和DomainNet数据集上进行了广泛的实验,证明了MSI的优越性和有效性.

结论:

  • MSI提供了一个逻辑上渐进的域泛化方法,直观地排除了混乱的域特定信息.
  • 该方法隐式地学习语义不变表示,实现了强大的分布外通用化.
  • MSI通过专注于功能道适应和域风格操纵来增强模型概括能力.