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相关概念视频

Concepts and Prototypes01:24

Concepts and Prototypes

159
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
159
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

174
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
174
Purposive Learning01:22

Purposive Learning

127
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...
127
Observational Learning01:12

Observational Learning

193
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...
193
Introduction to Learning01:18

Introduction to Learning

451
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...
451
Associative Learning01:27

Associative Learning

418
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...
418

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Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism
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简单的原始体与可行性和上下文依赖性为开放世界的构成式零射击学习.

Zhe Liu, Yun Li, Lina Yao

    IEEE transactions on pattern analysis and machine intelligence
    |October 9, 2023
    PubMed
    概括

    本研究介绍了一种新的开放世界构成式零拍摄学习 (OW-CZSL) 方法,以提高新型图像构成的识别能力. 该方法模拟了可行性和上下文性,在基准数据集上表现优于现有的方法.

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 人工智能的人工智能

    背景情况:

    • 开放式世界构成式零射击学习 (OW-CZSL) 面临着由于大枢纽性而带来新的状态对象构成的挑战.
    • 传统的方法往往忽略了状态,物体及其组成之间的关键依赖关系.
    • 现有的方法独立处理简单的原始体,导致显著的性能降低.

    研究的目的:

    • 通过建模可行性和上下文依赖性来解决当前OW-CZSL方法的局限性.
    • 提高在图像中的新状态对象组合的识别.
    • 开发一个强大的框架来处理构成式学习的固有复杂性.

    主要方法:

    • 建模取决于可行性 (例如",毛的"与"猫"相比"建筑") 和上下文性 (例如",猫"干湿).
    • 设计语义注意力 (SA) 来捕捉可行性语义并减少不可能的预测.
    • 提出生成的知识解 (KD),以创建无偏见的图像表示和减轻上下文偏见.
    • 将学习的可行性和上下文性集成到一个独立的组成概率模型中.

    主要成果:

    • 拟议的SA和KD引导的简单原始体 (SAD-SP) 方法显示出优越或竞争性性能.
    • 有效地捕捉和利用可行性和上下文性,以改善作文理解.

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  • 在OW-CZSL的三个基准数据集上取得了最先进的结果.
  • 结论:

    • 开发的SAD-SP方法有效地模拟了OW-CZSL中的复杂依赖关系.
    • 语义注意力和知识解是增强构成学习的关键组成部分.
    • 该方法在识别不同图像环境中的新状态对象组合方面取得了重大进展.