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

Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

16.9K
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...
16.9K
Graphs of Functions01:30

Graphs of Functions

270
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
270
Tangent Line01:26

Tangent Line

123
In differential calculus, understanding how a quantity changes at an exact point is central to interpreting dynamic systems. This can be illustrated by analyzing a car traveling along a winding road. The car’s trajectory is represented as a continuous curve, and the direction in which it moves at any instant is given by the tangent to that curve. In contrast, the secant line, intersecting the curve at two points, captures how the car’s position changes over an interval — an...
123
Tangent to a Curve01:30

Tangent to a Curve

276
The graph of a function where each output is the square of the input creates a smooth curve that bends upward, becoming steeper as one moves further from the center. At any chosen position along this curve, the curve reaches a certain height depending on the input value. This position can be a reference for analyzing how the curve behaves in its immediate vicinity.To understand the change in the curve near a particular position, imagine selecting another point slightly ahead along the curve.
276
Graphing Antiderivatives01:30

Graphing Antiderivatives

26
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
26
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

176
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
176

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

The subpleural pulmonary microvasculature in newborn yak (Bos grunniens).

Veterinary research communications·2008
Same author

Experimental confirmation of potential swept source optical coherence tomography performance limitations.

Applied optics·2008
Same author

A germin-like protein gene family functions as a complex quantitative trait locus conferring broad-spectrum disease resistance in rice.

Plant physiology·2008
Same author

[Spatial and temporal changes of palatal cell proliferation and cell apoptosis of retinoic acid induced mouse cleft palate in different embryonic stages].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology·2008
Same author

Identification of an Atlantic salmon IFN multigene cluster encoding three IFN subtypes with very different expression properties.

Developmental and comparative immunology·2008
Same author

Non-Gaussian statistics and superdiffusion in a driven-dissipative dusty plasma.

Physical review. E, Statistical, nonlinear, and soft matter physics·2008

相关实验视频

Updated: Jan 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

使用图形神经网络的接触性投资组合.

Bin Liu1, Haolong Li1, Linshuang Kang2

  • 1Center of Statistical Research, School of Statistics and Data Science, Southwestern University of Finance and Economics, Chengdu, 610000, Sichuan, China.

Neural networks : the official journal of the International Neural Network Society
|September 11, 2025
PubMed
概括

本研究介绍了一种使用图形神经网络 (GNN) 改进金融投资组合优化的新方法. 通过分析行业供应链,它提高了预期回报率和共变矩阵的估计,以提高投资组合绩效.

关键词:
在GNN中,GNN是最重要的.产业链是产业链中的一个.触点投资组合是一种触点投资组合.

更多相关视频

Revealing Neural Circuit Topography in Multi-Color
09:11

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

15.5K
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

2.6K

相关实验视频

Last Updated: Jan 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K
Revealing Neural Circuit Topography in Multi-Color
09:11

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

15.5K
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

2.6K

科学领域:

  • 量化金融 量化金融
  • 计算金融是指计算金融.
  • 网络科学 网络科学

背景情况:

  • 现代投资组合理论依赖于准确估计预期回报率和协差矩阵.
  • 估计这些参数具有挑战性,特别是在大量资产的情况下.
  • 传统的方法往往忽略了对市场动态至关重要的公司间关系.

研究的目的:

  • 通过结合产业链关系,提出一种用于估计触点投资组合权重的新方法.
  • 使用图形神经网络 (GNN) 提高协差矩阵估计的准确性.
  • 通过先进的估计策略来提高投资组合回报率和夏普比率预测.

主要方法:

  • 使用图形神经网络 (GNN) 基于行业链图形汇总股票特征.
  • 从聚合股票特征估计预期收益率和协差矩阵.
  • 实施集群相关结构的动态模块化计算.
  • 将历史排名规范化应用到预期的回报.

主要成果:

  • 提出的基于GNN的方法有效地结合了产业链信息.
  • 动态模块化约束成功地对估计的相关性施加了一个集群结构.
  • 历史排名的规范化增强了预期回报估计.
  • 该方法在每日股票数据集上表现出对投资组合回报率和夏普比率的优异预测.

结论:

  • 通过GNN集成行业链数据显著改善了金融投资组合的优化.
  • 提出的估计策略提高了模型效率和预测准确度.
  • 这项研究为复杂市场中更可靠的投资组合管理提供了强大的框架.