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

Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.3K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.3K
Modeling in Therapy01:26

Modeling in Therapy

377
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
377
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

497
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,...
497
Typical Model Studies01:30

Typical Model Studies

615
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
615
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

1.3K
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
1.3K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

238
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...
238

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

Toward Generating Realistic 3D Semantic Training Data for Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring.

Scientific data·2026
Same author

Generation of labeled leaf point clouds for plants trait estimation.

Plant phenomics (Washington, D.C.)·2025
Same author

Deep belief Markov models for POMDP inference.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

A Review of Remote Surgical Technologies and Training Strategies in Low- and Middle-Income Countries.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association·2025
Same author

Response estimation and system identification of dynamical systems via physics-informed neural networks.

Advanced modeling and simulation in engineering sciences·2025

相关实验视频

Updated: Jan 14, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.5K

多模式适应和通用化的进步:从传统方法到基础模型

Hao Dong, Moru Liu, Kaiyang Zhou

    IEEE transactions on pattern analysis and machine intelligence
    |January 12, 2026
    PubMed
    概括

    域调整和概括是人工智能在不同环境中工作的关键. 这项调查探讨了多式联络方法,从传统方法到利用CLIP等基础模型,以提高现实世界的AI性能.

    科学领域:

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

    背景情况:

    • 域调整和概括对于人工智能模型在不同的数据分布的多样化环境中可靠运行至关重要.
    • 挑战来自于由照明,天气和传感器变化等因素引起的领域差距,特别是在多式联运环境中.
    • 已经取得了显著的进展,在动作识别和语义细分方面的应用.

    研究的目的:

    • 调查多式联运领域适应和通用化的最新进展.
    • 分析从传统方法向基础基于模型的方法的演变.
    • 提供多式联运适应和泛化技术的全面概述.

    主要方法:

    • 审查多式联运领域适应和概括的传统方法.
    • 检查大规模预先训练的多式联运基础模型 (例如CLIP) 的影响.
    • 分析多模式测试时间的适应性和基础模型本身的适应性.

    主要成果:

    • 多模式域适应和泛化技术已经显著发展.
    • 基础模型为下游适应和泛化提供了增强的能力.
    • 该调查涵盖了包括多式联运领域适应,测试时间适应和领域概括在内的关键领域.

    更多相关视频

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.4K
    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
    12:55

    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

    Published on: September 27, 2020

    9.0K

    相关实验视频

    Last Updated: Jan 14, 2026

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.5K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.4K
    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
    12:55

    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

    Published on: September 27, 2020

    9.0K

    结论:

    • 基础模型代表了多式联运适应和通用化的重大进步.
    • 未来的研究方向包括解决多式联络人工智能的开放挑战.
    • 该领域正在迅速发展,在各种应用中进行着持续的研究.