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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

60
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...
60
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

104
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
104
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
42
Response Surface Methodology01:16

Response Surface Methodology

95
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
95
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

80
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
80
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

100
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...
100

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

Ecological momentary assessment suggests greater sensitivity to clinical change in a compensatory strategy pilot clinical trial.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists·2026
Same author

Temperature discomfort impairs everyday cognition: a pilot study using smartwatch-based ecological momentary assessment.

Environmental research communications·2026
Same author

Promoting digital memory aid use in older adults with cognitive concerns: A pilot randomized controlled trial of adaptive web-based training.

Neuropsychology·2026
Same author

Introductory editorial for a special issue on artificial intelligence in neuropsychology.

The Clinical neuropsychologist·2026
Same author

Smart Home Technologies for Monitoring Cancer Symptoms and Enhancing Palliative Care.

Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science·2026
Same author

Detecting the Impact of Older Adult Healthy Brain Aging Behaviour Adoption Using Smart Home Technology.

Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science·2026

相关实验视频

Updated: Jun 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

HydraGAN:一个合作代理模型,用于多目标数据生成.

Chance Desmet1, Diane J Cook1

  • 1Washington State University, USA.

ACM transactions on intelligent systems and technology
|October 29, 2024
PubMed
概括

HydraGAN使用超越现实性的多个目标来生成合成数据. 这种多代理网络平衡了隐私,分布和多样性,在多目标数据生成中表现优于现有的方法.

科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 数据科学数据科学数据科学

背景情况:

  • 生成对抗网络 (GAN) 广泛用于合成数据生成.
  • 现有的方法往往优先考虑个体样本现实主义.
  • 现实世界的应用程序需要额外的合成数据约束,如隐私和多样性.

研究的目的:

  • 介绍HydraGAN,这是一个用于多目标合成数据生成的新型多代理网络.
  • 解决当前方法在平衡多个数据生成标准方面的局限性.
  • 为优化合成数据提供了一个框架,超越了简单的现实主义.

主要方法:

  • 开发了HydraGAN,这是一个多代理系统,具有一个发电机和多个区分器.
  • 理论上验证了HydraGAN训练趋于纳什平衡.
  • 在六个不同的数据集上评估了HydraGAN.

主要成果:

  • HydraGAN有效地平衡了多个数据生成目标.
  • 雷达曲线下的面积 (AuRC) 被HydraGAN最大化.
  • 实验结果表明,与以前的数据集方法相比,实验结果显示出更高的性能.
关键词:
这是一个PPDM.两个对立的目标.多种代理的GANAN.合成数据的生成.

更多相关视频

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.3K
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.2K

相关实验视频

Last Updated: Jun 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.3K
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.2K

结论:

  • HydraGAN为多目标合成数据生成提供了一个强大的解决方案.
  • 多代理方法使得合作和竞争数据生成目标的平衡成为可能.
  • 对于复杂的要求,HydraGAN在合成数据生成领域取得了进展.