Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Outliers and Influential Points01:08

Outliers and Influential Points

4.0K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.0K
Heuristics01:21

Heuristics

83
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
83
The Availability Heuristic01:08

The Availability Heuristic

5.9K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
5.9K
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
Survival Tree01:19

Survival Tree

73
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...
73
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

28
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
28

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Explicit and implicit HMI for tunnel blind spot: insights from a naturalistic driving experiment.

Traffic injury prevention·2026
Same author

Corrigendum to "Piezo1 activation mediates stiffness-induced aortic medial calcification: Pharmacological evidence from agonist and antagonist studies" [Eur. J. Pharmacol. 1011 (2026) 178465].

European journal of pharmacology·2026
Same author

Metabolic Regulation of Seasoned White Snakehead Fillets by a Lemon Essential Oil-Rutin-Chitosan Coating Under Controlled Freezing-Point Storage.

Foods (Basel, Switzerland)·2026
Same author

Computer-Aided Virtual Saturation Mutagenesis Improves the Lignocellulose-Degrading Performance of an <i>Aspergillus niger</i> LPMO.

Foods (Basel, Switzerland)·2026
Same author

Research on trajectory tracking control of tracked vehicles based on hydraulic motor system identification and Laguerre-MPC.

PloS one·2026
Same author

Proteomic and Clinical Characterization of Active vs. Quiescent Pterygium With Elevated Thrombospondin-1.

Translational vision science & technology·2026
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 14, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K

基于启发式时空特征的节点影响的评估模型.

Sheng Jin1,2,3, Yuzhi Xiao1,2,3, Jiaxin Han1,2,3

  • 1School of Computer Science, Qinghai Normal University, Xining 810016, China.

Entropy (Basel, Switzerland)
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了一种新的基于启发式的时空特征节点影响评估模型 (HEIST),以准确评估动态网络中的节点影响. 这个模型有效地捕捉了不断变化的节点影响,优于传统方法.

关键词:
这是一个SIR模型.复杂的网络复杂的网络.启发式听觉学是一种启发式听觉学.更高阶的零模型.节点的影响 节点影响 节点影响

更多相关视频

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

相关实验视频

Last Updated: Jun 14, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

科学领域:

  • 网络科学 网络科学
  • 复杂系统分析 复杂系统分析
  • 数据挖掘 数据挖掘

背景情况:

  • 准确的节点影响评估对于系统稳定性至关重要.
  • 传统的静态方法与动态网络演变和结构冗余性作斗争.
  • 经验网络在复制时表现出动态特征和拓偏差.

研究的目的:

  • 提出一种新的基于启发式的时空特征节点影响评估模型 (HEIST).
  • 为了解决捕获动态节点影响的传统方法的局限性.
  • 提高在实证网络中对节点影响评估的准确性和稳定性.

主要方法:

  • 使用零模型方法优化网络复制以减少冗余.
  • 将网络划分为子网,用于特征建模和影响差异化.
  • 采用了一个时空深度感知模块,集成图形卷积神经网络 (GCN) 和长短期记忆 (LSTM) 网络.
  • 利用启发式评估算法进行节点影响的非线性优化.

主要成果:

  • HEIST模型在捕捉节点影响的动态演变方面表现强.
  • 整合GCN和LSTM改善了对节点影响的空间和时间感知.
  • 实验结果显示,Kendall系数在多个数据集中超过了90%.
  • 该模型在实证网络上表现出强大的概括性能.

结论:

  • 提出的HEIST模型有效地评估了复杂网络中的动态节点影响.
  • 与传统的静态评估方法相比,HEIST提供了显著的改进.
  • 该模型的时空特征提取提高了现实世界网络分析的准确性和稳定性.