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相关概念视频

Purposive Learning01:22

Purposive Learning

87
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...
87
Associative Learning01:27

Associative Learning

241
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...
241
Observational Learning01:12

Observational Learning

100
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...
100
Cognitive Learning01:21

Cognitive Learning

96
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...
96
Classical Conditioning01:18

Classical Conditioning

391
Associative learning, a core principle in behavioral psychology, involves forming connections between events and facilitating learned responses. This concept is vividly illustrated by classical conditioning, a process extensively studied by the Russian physiologist Ivan Pavlov. Pavlov's pioneering research on dogs' digestive systems led to the discovery that behaviors can be learned through association, laying the groundwork for classical conditioning.
Ivan Pavlov observed that dogs...
391
Surveys02:16

Surveys

14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K

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相关实验视频

Updated: May 11, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

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最近一项关于依赖实例的积极和未标记的学习的调查.

Chen Gong1,2, Muhammad Imran Zulfiqar1,3, Chuang Zhang1

  • 1School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Fundamental research
|April 17, 2025
PubMed
概括

取决于实例的积极和未标记 (PU) 学习假定标记信心因积极实例而异. 本次调查回顾了这种设置的方法,对于医学诊断和异常检测等应用至关重要.

关键词:
具有成本敏感性的学习.取决于实例的积极和未标记的学习.标签噪音学习 标签噪音学习标签假设的标签假设评分功能 评分功能缺乏监督的学习学习.

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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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Appetitive Associative Olfactory Learning in Drosophila Larvae
09:22

Appetitive Associative Olfactory Learning in Drosophila Larvae

Published on: February 18, 2013

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相关实验视频

Last Updated: May 11, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

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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

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Appetitive Associative Olfactory Learning in Drosophila Larvae
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Appetitive Associative Olfactory Learning in Drosophila Larvae

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科学领域:

  • 机器学习 机器学习
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 积极和未标记 (PU) 学习是一种半监督的学习任务.
  • 取决于实例的PU学习解决了积极实例的不同标记信心.
  • 这种设置对于现实世界的应用,如医学诊断和异常值检测至关重要.

研究的目的:

  • 提供对依赖实例的PU学习的全面概述.
  • 审查这个领域的现有设置和方法.
  • 分析和比较不同的依赖实例的PU学习方法.

主要方法:

  • 对依赖实例的PU学习设置和方法的文献综述.
  • 对基准数据集的代表性方法进行比较分析.
  • 与传统的PU学习技术相比,绩效评估.

主要成果:

  • 取决于实例的PU学习为PU学习提供了更现实的方法.
  • 对比分析突出了各种方法的优缺点.
  • 性能洞察力指导特定应用程序选择合适的算法.

结论:

  • 取决于实例的PU学习是PU学习的重大进步.
  • 需要进一步的研究来探索新的方法和应用.
  • 这项调查为该领域未来的进步提供了基础.