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

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
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

364
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
364
Heuristics01:21

Heuristics

74
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...
74
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.0K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.0K
Maximum Size of Aggregate01:12

Maximum Size of Aggregate

75
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...
75
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

705
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
705

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

BioNeuralNet: a graph neural network based Multi-Omics network data analysis tool.

Bioinformatics (Oxford, England)·2026
Same author

EC-Bench: a benchmark for enzyme commission number prediction.

Bioinformatics advances·2026
Same author

BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool.

ArXiv·2025
Same author

Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Development and Usability Study.

JMIR human factors·2025
Same author

A generalized higher-order correlation analysis framework for multi-omics network inference.

PLoS computational biology·2025
Same author

Proteomic networks and related genetic variants associated with smoking and chronic obstructive pulmonary disease.

BMC genomics·2024

相关实验视频

Updated: Jun 5, 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

993

ActiveReach:一个主动学习框架,用于大致的可访问性查询,在大规模图表中回答.

Zohreh Raghebi1, Farnoush Banaei-Kashani1

  • 1Department of Computer Science and Engineering, University of Colorado Denver, Denver, CO, United States.

Frontiers in big data
|December 4, 2024
PubMed
概括

ActiveReach使用节点属性和主动学习来学习近似的图形可访问性. 这个框架平衡了查询速度和对大型属性图的准确性.

科学领域:

  • 图形理论 图形理论
  • 机器学习 机器学习
  • 数据库系统 数据库系统

背景情况:

  • 传统的图表可访问性查询提供了准确的答案,但在大型图表上速度很慢.
  • 大致可访问性查询提供了查询时间和准确性之间的权衡.
  • 现有的方法缺乏有效的解决方案来学习在大型赋值图表上的近似可访问性.

研究的目的:

  • 提出ActiveReach,一个用于学习索引结构的新框架,以回答近似可访问性查询.
  • 开发一种有效平衡查询时间和准确度的方法,用于可访问性分析.
  • 解决所有训练数据在大型图形中计算可达性的计算挑战.

主要方法:

  • 一个双相框架,重点是将节点嵌入到可访问空间中.
  • 第一个阶段:使用节点属性和位置信息创建可访问性意识的节点嵌入.
  • 第二阶段:纳入新的属性和可访问性标签,使用主动学习来选择可访问性计算的数据并增强预测.

主要成果:

  • ActiveReach有效地学习大规模归因图的近似可访问性.
  • 积极学习组件有效地选择数据,提高可访问性预测性能.
  • 实验研究证明了ActiveReach框架内各组件的有效性.
关键词:
图表学习学习图表学习图表采矿是如何进行的学习指数学习指数学习指数可达性学习的可达性学习可达性查询查询可达性查询

更多相关视频

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

486
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

502

相关实验视频

Last Updated: Jun 5, 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

993
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

486
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

502

结论:

  • ActiveReach提供了一种有效的解决方案,用于大规模的属性图表上的近似图表可访问性查询.
  • 该框架通过学习索引结构成功平衡了查询效率和准确性.
  • 积极学习策略对于管理计算成本,同时保持预测性能至关重要.