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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Apparent Weight01:09

Apparent Weight

8.2K
True weight is the measure of the gravitational force acting on an object. However, if the object accelerates, its measured weight is different from its true weight. Similar observations can be made when the object is submerged in water. An object's weight in water is its apparent weight, which is equal to the difference between its true weight and the buoyant forces.
Consider a person standing on a bathroom scale inside an elevator. If the scale is accurate at rest, its reading equals the...
8.2K
Differential Leveling01:12

Differential Leveling

170
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
170
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

105
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
105
Weighted Mean00:57

Weighted Mean

5.1K
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...
5.1K
Types of Damping01:20

Types of Damping

6.4K
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
6.4K

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

Regulation of microtubule dynamics by DIAPH3 influences amoeboid tumor cell mechanics and sensitivity to taxanes.

Scientific reports·2015
Same author

Aberrant Functional Connectivity Architecture in Alzheimer's Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis.

BioMed research international·2015
Same author

Alternative NF-κB Isoforms in the Drosophila Neuromuscular Junction and Brain.

PloS one·2015
Same author

Grape seed proanthocyanidin protects liver against ischemia/reperfusion injury by attenuating endoplasmic reticulum stress.

World journal of gastroenterology·2015
Same author

Serum Levels of Progranulin Are Closely Associated with Microvascular Complication in Type 2 Diabetes.

Disease markers·2015
Same author

Repression of microRNA biogenesis by silencing of OsDCL1 activates the basal resistance to Magnaporthe oryzae in rice.

Plant science : an international journal of experimental plant biology·2015
Same journal

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Decentralized ADMM for factorization-based Low-rank matrix estimation.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

New results on prescribed-time synchronization of complex networks via intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Variance-constrained multi-view ensemble broad network for imbalanced data.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 2025

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

544

积极动态权重用于多域适应.

Long Liu1, Bo Zhou1, Zhipeng Zhao1

  • 1Xi'an University of Technology, Xi'an, 710048, China.

Neural networks : the official journal of the International Neural Network Society
|May 28, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了多源无监督域适应的主动动态权重 (ADW),通过动态调整特征和澄清决策边界来改善知识传输. ADW通过专注于硬样本和利用主动学习来提高模型性能,以实现高效的数据注释.

关键词:
积极学习是指积极学习.分布线对齐的情况.域名适应领域适应转移学习转移学习

更多相关视频

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.0K

相关实验视频

Last Updated: Jun 25, 2025

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

544
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.0K

科学领域:

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

背景情况:

  • 多源无监督域调整 (MS-UDA) 将知识从多个标记源转移到一个没有标记的目标域.
  • 现有的MS-UDA方法往往忽视域特定的差异,并与复杂的跨域类别界限作斗争.

研究的目的:

  • 提出一种新的主动动态权重 (ADW) 方法,以增强多源无监督域调整.
  • 为应对全球和本地特征分布差异和域间不清楚的类别界限所带来的挑战.

主要方法:

  • ADW采用动态调整机制,在培训批次中对源域和目标域进行特征调整.
  • 引入了一个动态边界损失函数,以专注于硬样本,提高决策边界清晰度.
  • 积极学习与重要性抽样集成,以有效地选择目标域样本进行注释,完善类别级域调整.

主要成果:

  • 对基准数据集的实验证明了拟议的ADW方法的优越性.
  • 动态加权和边界损失有效地提高了特征对齐和分类准确性.
  • 积极学习的整合提高了领域适应效率和类别层面的理解.

结论:

  • 在多源无监督域调整方面,ADW提供了显著的进步.
  • 该方法有效地处理域差异,并改善模型通用化.
  • ADW提供了一个强大的框架,可以利用多个标记域来适应一个没有标记的目标域.