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相关概念视频

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).
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Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.2K
Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

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People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
38.9K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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相关实验视频

Updated: Jun 13, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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通过课程自我反思来促进伪标签,用于归因图集群的伪标签.

Pengfei Zhu, Jialu Li, Yu Wang

    IEEE transactions on neural networks and learning systems
    |September 9, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了伪标签与课程自我反思 (PLCSR),这是一种用于归因图表集群的新型自我监督学习方法. 通过学习可靠的伪标签和逐步处理节点,PLCSR提高了集群精度,优于现有方法.

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    Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

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    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

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    相关实验视频

    Last Updated: Jun 13, 2025

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

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    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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    科学领域:

    • 机器学习 机器学习
    • 图形理论 图形理论
    • 数据挖掘 数据挖掘

    背景情况:

    • 赋值图集群分区节点成使用无监督学习的组.
    • 当前的方法经常引入偏见,并通过借口任务标记噪音.
    • 预测方法有希望,但面临局限性.

    研究的目的:

    • 提出一种新的自我监督学习方法,用于赋值图表集群.
    • 为了解决现有预测方法的局限性,特别是辅助任务偏差和标签噪声.
    • 为了提高图形集群的准确性和可靠性.

    主要方法:

    • 引入了伪标签与课程自我反思 (PLCSR).
    • 采用了使用指数移动平均线 (EMA) 的自助编码器,用于自信的伪标签生成.
    • 实施了课程选择策略,为准确的节点处理设置了动态值.

    主要成果:

    • PLCSR显著超过了最先进的预测方法.
    • 与CDRS相比,集群精度提高了6%以上.
    • 通过弃权证明有效处理节点不确定性.

    结论:

    • PLCSR提供了一个强大的,准确的方法来归因图表集群.
    • 该方法减轻了先前技术固有的偏差和标签噪声.
    • PLCSR推进了自主监督图表表示学习领域.