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相关概念视频

Associative Learning01:27

Associative Learning

1.2K
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...
1.2K
Observational Learning01:12

Observational Learning

824
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
824
Cognitive Learning01:21

Cognitive Learning

1.0K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.0K
Purposive Learning01:22

Purposive Learning

438
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
438
Introduction to Learning01:18

Introduction to Learning

931
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
931
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

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相关实验视频

Updated: Jan 14, 2026

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

Published on: December 6, 2024

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双重焦点内存对比学习用于主动域适应.

Qing Tian1, Junjie Pan2, Yun Yang3

  • 1School of Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Wuxi Institute of Technology, Nanjing University of Information Science and Technology, Wuxi, 214000, China.

Neural networks : the official journal of the International Neural Network Society
|October 25, 2025
PubMed
概括
此摘要是机器生成的。

主动域调整 (ADA) 通过标记目标样本来提高模型性能. 我们的双焦内存对比学习 (DumDA) 方法优化了选定样本的利用,以更好地适应域名.

关键词:
活跃领域适应活动.积极学习是指积极学习.相反的学习学习.域名适应领域适应

更多相关视频

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

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相关实验视频

Last Updated: Jan 14, 2026

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

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.0K

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:

  • 活动域调整 (ADA) 利用标记的目标样本来提高模型性能.
  • 目前的ADA方法专注于样本选择,但未充分利用所选数据.
  • 不有效的利用阻碍了捕获目标域结构.

研究的目的:

  • 为主动域适应 (DumDA) 引入双焦内存对比学习.
  • 为了优化选择的目标域样本的利用.
  • 通过改善样本选择和知识传播来提高领域适应性能.

主要方法:

  • DumDA 编排内存编码的历史特征,并提供实时批量对比.
  • 双重焦点对齐增强了学习和对齐的样本选择.
  • 混合活性选择策略确保重建样本的类平衡选择.

主要成果:

  • DumDA 在域调整任务中显著提高了性能.
  • 该方法证明了对选定的目标域样本的有效利用.
  • 在多个标准数据集上的实验结果验证了DumDA的创新.

结论:

  • DumDA提供了一种新的方法来优化在ADA中选择样本的利用率.
  • 双重焦点记忆对比学习增强了知识传播和目标结构捕获.
  • DumDA代表了活跃域适应的重大进步.