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相关概念视频

Counterfactual Thinking01:19

Counterfactual Thinking

305
Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in...
305
Regression Toward the Mean01:52

Regression Toward the Mean

7.2K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.2K
Hindsight Biases01:12

Hindsight Biases

4.5K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.5K
Fundamental Attribution Error01:14

Fundamental Attribution Error

14.0K
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...
14.0K
Cause and Effect01:53

Cause and Effect

12.6K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
12.6K
Diffusion01:12

Diffusion

225.4K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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相关实验视频

Updated: Mar 3, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

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表格扩散反事实解释反事实解释.

Wei Zhang1, Brian Barr2, John Paisley1

  • 1Electrical Engineering, Columbia University, New York, NY, United States.

Frontiers in artificial intelligence
|March 2, 2026
PubMed
概括
此摘要是机器生成的。

本研究引入了一种用于生成表格数据反事实解释的新方法,提高了金融和社会科学机器学习模型的可解释性.

关键词:
可控制的扩散模型相反的事实产生的产生.离散扩散模型的离散扩散模型可以解释的机器学习不同质的数据是不同的数据.

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Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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相关实验视频

Last Updated: Mar 3, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
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RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

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Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
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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:

  • 反事实解释对于可解释的机器学习至关重要.
  • 目前的扩散模型解释主要针对计算机视觉,而不是表格数据.
  • 表格式数据在金融和社会科学中很普遍.

研究的目的:

  • 为表格数据开发一种新的反事实解释方法.
  • 通过使用Gumbel-softmax近似来适应分类特征的扩散模型.
  • 分析温度参数对解释质量的影响.

主要方法:

  • 建议对分类特征进行指导反向过程.
  • 使用了一个近似的Gumbel-softmax分布.
  • 对大规模信用贷款和表格数据集进行实验.

主要成果:

  • 这种新方法在基线方法上表现出了优越的性能.
  • 取得了强有力的和现实的反事实解释.
  • 使用可解释性,多样性,不稳定性和有效性的定量措施进行评估.

结论:

  • 提出的方法为表格数据的反事实解释提供了有效的解决方案.
  • 这项工作将扩散模型的应用扩展到新的数据领域.
  • 这些发现有助于更易于解释的AI在金融和社会科学领域.