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相关概念视频

Maximum Size of Aggregate01:12

Maximum Size of Aggregate

97
The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
97
Aggregates Classification01:29

Aggregates Classification

310
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
310
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

66
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.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
66
Distance Measurements by Taping01:18

Distance Measurements by Taping

31
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
31
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Unsoundness of Aggregate due to Volume Change01:26

Unsoundness of Aggregate due to Volume Change

104
Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
104

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Updated: Jun 18, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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高维数据的新范式:基于距离的半参数特征聚合框架,通过主体之间的属性.

Jinyuan Liu1, Xinlian Zhang2, Tuo Lin2

  • 1Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, U.S.A.

Scandinavian journal of statistics, theory and applications
|August 5, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种基于距离的新型框架,用于分析高维数据,在没有选择的情况下保留所有特征. 该方法使用半参数回归和基于U统计的估计方程来进行可靠和高效的分析.

关键词:
缩小尺寸的缩小方式多变量回归的多变量回归双向距离是对的距离.强大的推理推理.半参数有效影响函数 (EIF)

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相关实验视频

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科学领域:

  • 统计 统计 统计 统计
  • 生物统计学 生物统计学
  • 机器学习 机器学习

背景情况:

  • 高维数据分析由于维度的诅咒而带来了挑战.
  • 传统方法通常依赖于特征选择,导致潜在的信息丢失.
  • 现有的推理方法可能在大型数据集中难以处理复杂的相关性.

研究的目的:

  • 为高维数据分析开发基于距离的框架,避免特征选择.
  • 提出一个半参数回归方法,封装多个高维变量.
  • 为统计推理引入一种强大且在计算上可行的方法.

主要方法:

  • 提出了一个基于距离的新框架,重点关注主体之间的属性对对结果.
  • 半参数回归模型是为了处理多个来源的高维变量而开发的.
  • 基于U统计的估计方程 (UGEE) 用于解决相互锁定的相关性,利用它们独特的有效影响函数 (EIF).

主要成果:

  • 拟议的半参数估计器对分布式错误规范具有稳定性.
  • 实现的根-n一致性和非对称的最佳性促进了可靠的统计推理.
  • 该框架有效地规避了与功能选择相关的信息丢失.

结论:

  • 开发的方法提高了对高维数据的模型解释性和计算可行性.
  • 它为传统方法提供了强大的替代方案,特别是对于复杂的数据集,如人类微生物组和可穿戴设备数据.
  • 该方法保留了信息,并提供了强大的,高效的推理.