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相关概念视频

Weighted Mean00:57

Weighted Mean

5.2K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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Introduction to Structures01:30

Introduction to Structures

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A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
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Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
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Generating Strictly Controlled Stimuli for Figure Recognition Experiments
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重要度加权结构学习为场景图表生成的场景图.

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    此摘要是机器生成的。

    这项研究引入了一种新的重要度加权结构学习方法,用于场景图表生成. 这种方法可以改善后方近似,从而在图像理解任务中实现最先进的性能.

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    科学领域:

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

    背景情况:

    • 场景图形生成模型对象和图像中的关系.
    • 目前的方法使用传递信息的神经网络和证据下界,这可能会低估后部分布.
    • 这导致在生成准确的场景图表方面表现不佳.

    研究的目的:

    • 为场景图形生成提出一种新的重要权重结构学习方法.
    • 解决现有方法中对后部分布的低估问题.
    • 为了提高视觉场景图形生成的性能和准确性.

    主要方法:

    • 开发了一种权重结构学习方法.
    • 使用可重定位的Gumbel-Softmax采样器绘制多个样本.
    • 应用了透镜下降算法来进行受约束的变化推理.
    • 通过使用更紧密的重要性加权的下边界对日志分区函数进行了近似.

    主要成果:

    • 拟议的方法在流行的场景图表生成基准上实现了最先进的性能.
    • 在模拟对象及其关系方面表现出卓越的准确性.
    • 展示了更紧的下界近似的有效性.

    结论:

    • 新的重要性加权结构学习方法显著增强了场景图表生成.
    • 这种方法克服了传统证据低限方法的局限性.
    • 这项工作推进了用于视觉理解的结构化预测领域.