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相关概念视频

Observational Learning01:12

Observational Learning

213
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...
213
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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Cerebellum: Anatomical Regions01:17

Cerebellum: Anatomical Regions

1.8K
The cerebellum, also known as the "little brain," is located in the posterior cranial fossa, inferior to the tentorium cerebelli and dorsal to the brainstem. It plays a significant role in motor control, coordination, and proprioception.
Cerebellar Structure
Externally, the cerebellum features a highly convoluted surface with numerous folia (narrow ridges) separated by shallow sulci (grooves). The cerebellum is divided into two hemispheres by a thin median structure known as the vermis. The...
1.8K
Associative Learning01:27

Associative Learning

452
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...
452
Cognitive Learning01:21

Cognitive Learning

433
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...
433
Purposive Learning01:22

Purposive Learning

146
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...
146

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相关实验视频

Updated: Jul 24, 2025

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层次化的积极学习与对地区的定性反.

Zhipeng Luo1, Yazhou He2, Yanbing Xue3

  • 1School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China.

IEEE transactions on human-machine systems
|July 3, 2023
PubMed
概括

本研究介绍了基于区域的积极学习,这是一种用于机器学习的更快的人类监督方法. 它通过标记数据区域而不是单个实例来提高模型培训效率.

关键词:
积极学习 (AL) 是指积极学习.从替代的人类反中学习.半监督学习 半监督学习

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科学领域:

  • 机器学习 机器学习
  • 数据科学数据科学数据科学
  • 人与计算机的交互

背景情况:

  • 培训分类模型通常需要广泛的标记数据.
  • 基于实例的注释对于人类注释者来说通常是低效和耗时的.

研究的目的:

  • 提出和评估一种使用数据区域的新型人类监督方法.
  • 开发一种高效的模型学习方法,减少注释工作.

主要方法:

  • 引入基于地区的标签,在数据子空间中评估定性类比例.
  • 设计了一个层次化的积极学习过程,以递归构建一个区域层次结构.
  • 集成的积极学习策略与人类专业知识,以提供歧视性特征.

主要成果:

  • 在九个数据集上进行了广泛的实验,证明了该框架的有效性.
  • 一项关于结直肠癌患者生存率分析的用户研究验证了这一方法.
  • 基于区域的积极学习框架的表现优于传统的基于实例的方法.

结论:

  • 基于区域的积极学习为基于实例的方法提供了更有效和更有效的替代方案.
  • 这种方法显著减少了人类注释的努力,同时保持了模型的性能.
  • 拟议的框架显示了实际机器学习应用的前景.