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相关概念视频

The Representativeness Heuristic02:13

The Representativeness Heuristic

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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.
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Attribution Theory00:56

Attribution Theory

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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).
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Fundamental Attribution Error01:14

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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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勘探头:大型模型和数据的通用特征归属

Gautam Machiraju1, Alexander Derry1, Arjun Desai2

  • 1Department of Biomedical Data Science, Stanford University.

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此摘要是机器生成的。

勘探头为机器学习模型提供高效和可解释的特征归属,在各种数据类型的本地化准确性方面超过现有方法. 这种进步提高了对复杂的科学和生物医学应用的信任和透明度.

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科学领域:

  • 机器学习 机器学习
  • 科学计算科学计算
  • 生物医学信息学 生物医学信息学

背景情况:

  • 特性归因对于科学和医学中的ML解释性至关重要.
  • 现有的方法在精确的定位,小样本大小和高维数据方面扎.

研究的目的:

  • 引入探矿头作为基于解释的归因的有效和可解释的替代方案.
  • 在各种数据模式中展示勘探头的概括性和性能.

主要方法:

  • 开发了探矿头,这是适用于任何编码器和数据类型的新方法.
  • 在序列 (文本),图像 (病理) 和图形 (蛋白质结构) 数据上验证了开采者头部.

主要成果:

  • 勘探头实现了卓越的定位准确性,在AUPRC的平均定位中高达26.3个点的表现超过了基线.
  • 证明了对特定类型的模式的改进解释和发现.

结论:

  • 勘探头为特征归属提供了一个高性能,灵活和可通用的框架.
  • 这种方法提高了科学和生物医学领域的ML模型的信任和透明度.