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

545
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...
545
Associative Learning01:27

Associative Learning

350
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
350
Fundamental Attribution Error01:14

Fundamental Attribution Error

12.9K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.9K
Reliability and Validity01:29

Reliability and Validity

12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Attribution Theory00:56

Attribution Theory

13.0K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.0K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K

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

Non-linear relationships between inflammatory indices and erectile dysfunction in a group of young men living with HIV.

Basic and clinical andrology·2026
Same author

Orchestrating Generative AI Paradigms With Human-in-the-Loop for 3D Generation.

IEEE transactions on visualization and computer graphics·2026
Same author

A Prospective Real-World Study Evaluating the Feasibility and Diagnostic Yield of Patient-Recorded Smartwatch EKGs During Palpitations: The WATCHinTIME Study.

Journal of clinical medicine·2026
Same author

Dual-chamber pacing for vasovagal syncope: A systematic review and meta-analysis of randomized controlled trials.

International journal of cardiology. Heart & vasculature·2026
Same author

Very high-power short duration radiofrequency ablation to achieve pulmonary vein isolation: the AIR HPSD registry.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
Same author

Adherence to consensus-based implantable cardioverter-defibrillator programming and impact on therapy delivery in clinical practice: A national cohort study.

Heart rhythm O2·2026

相关实验视频

Updated: Jun 29, 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

550

基于属性的零射击学习的概括性和稳定性评估.

Luca Rossi1, Maria Chiara Fiorentino1, Adriano Mancini1

  • 1Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131, Ancona, Italy.

Neural networks : the official journal of the International Neural Network Society
|April 6, 2024
PubMed
概括

零射击学习 (ZSL) 模型因数据限制而面临现实应用中的挑战. 这项研究表明,数据分割对ZSL模型的性能有重大影响,突出显示了对强大的评估方法的需求.

关键词:
评估指标评估指标可以概括的概括性坚固性 坚固性零射击学习的学习.

更多相关视频

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.2K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

529

相关实验视频

Last Updated: Jun 29, 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

550
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.2K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

529

科学领域:

  • 深度学习 (Deep Learning) 是一种深度学习.
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 深度学习模型通常需要大量的数据集来进行有效的培训.
  • 零射击学习 (ZSL) 通过使模型能够识别看不见的类来提供解决方案.
  • 对于现实世界的场景来说,ZSL,特别是生成ZSL的通用性仍然是一个关键的挑战.

研究的目的:

  • 调查数据分割系统地影响基于属性的ZSL模型性能的假设.
  • 介绍和分析基于属性的ZSL中可概括性和稳定性的概念.
  • 为未来关于ZSL模型通用性和实际应用的研究提供基础.

主要方法:

  • 通过各种数据分割进行了压力测试ZSL模型的实验.
  • 引入并评估基于属性的ZSL的概括性和稳定性指标.
  • 在基准数据集上分析了最先进的ZSL模型准确性,区分粗粒和细粒数据.

主要成果:

  • 在不同ZSL模型和数据集中确定了可概括性和稳定性的一致趋势.
  • 根据训练数据分割的统计性质,发现了业绩的显著差异.
  • 观察到维度减小技术显著提高了ZSL在细粒度数据集上的性能.

结论:

  • 数据分割是影响ZSL模型性能和可靠性的关键因素.
  • 目前的ZSL模型在通用性和稳定性方面都有很大的改进空间.
  • 尺寸缩小显示了提高ZSL效率的前景,特别是在复杂的细粒度识别任务中.