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相关概念视频

Generalization, Discrimination, and Extinction01:24

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Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
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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...
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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...
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Aggregates Classification01:29

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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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Normal and Tangetial Components: Problem Solving01:24

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Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
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Immunity, along with the ability to limit pathogen growth to prevent significant body tissue damage, can be gained either by (1) actively developing an immune response within the individual after exposure to a pathogen or after getting vaccinated or (2) passively transferring immune components from an immune individual to one who is nonimmune. Both these forms of immunity can be found naturally and in medical practices.
Active Immunity
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弥合与毕业生的差距:将主动学习整合到半监督的领域概括.

Jingwei Li1, Yuan Li1, Jie Tan2

  • 1Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.

Neural networks : the official journal of the International Neural Network Society
|December 14, 2023
PubMed
概括

本研究引入了Active Semi-supervised Domain Generalization (ASSDG),以提高使用较少标记数据的模型性能. 新的基于梯度相似性的样本过和分类 (GSSFS) 方法提高了培训的可靠性和效率.

关键词:
积极学习是指积极学习.域名通用化 域名通用化半监督学习 半监督学习

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科学领域:

  • 计算机科学 计算机科学
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 域泛化 (DG) 通常需要广泛的标记源数据,这往往是不切实际的.
  • 半监督学习 (SSL) 已被调整为域泛化 (SSDG) 以利用未标记的数据,但比较不一致.
  • 现有的SSDG方法由于对未标记数据的随机初始标记而遭受不稳定的训练.

研究的目的:

  • 为了应对数据标签在域泛化的挑战.
  • 为半监督域泛化提出一个标准化的训练范式.
  • 通过将主动学习 (AL) 与SSDG集成,引入主动半监督域泛化 (ASSDG).

主要方法:

  • 提出了一个统一的框架,即基于梯度相似性的样本过和分类 (GSSFS).
  • 在GSSFS中,SSDG和AL组件都被代训练.
  • 梯度相似性用于选择SSDG和AL的信息性未标记源样本.

主要成果:

  • 提出的方法在总局数据集上取得了最先进的结果,特别是在低数据制度中.
  • 总的来说,GSSFS框架表现出了效率和简单性.
  • 与随机标记相比,这种方法提高了培训的稳定性和可靠性.

结论:

  • ASSDG提供了一种更有效的方法,可以使用有限的标记数据来进行域概括.
  • GSSFS框架为主动半监督域泛化提供了强大而高效的解决方案.
  • 这项工作为SSDG研究建立了标准化的范式,并强调了整合AL的好处.