Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Introduction to Learning01:18

Introduction to Learning

1.4K
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...
1.4K
Associative Learning01:27

Associative Learning

1.7K
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...
1.7K
Cognitive Learning01:21

Cognitive Learning

1.5K
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...
1.5K
Observational Learning01:12

Observational Learning

1.2K
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...
1.2K
Machines: Problem Solving II01:30

Machines: Problem Solving II

725
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
725
Machines: Problem Solving I01:22

Machines: Problem Solving I

777
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
777

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

[Experimental study of the eyelid reconstruction in situ with the acellular xenogeneic dermal matrix].

Zhonghua zheng xing wai ke za zhi = Zhonghua zhengxing waike zazhi = Chinese journal of plastic surgery·2007
Same author

[Mutation analysis of GCH1 gene in Chinese patients with dopa responsive dystonia].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2007
Same author

[Screening and characterization of marine bacteria with antibacterial and cytotoxic activities, and existence of PKS I and NRPS genes in bioactive strains].

Wei sheng wu xue bao = Acta microbiologica Sinica·2007
Same author

[Collateral supply in patients with severe carotid stenosis].

Zhonghua yi xue za zhi·2007
Same author

[Changes of sleep architecture in patients with narcolepsy].

Zhonghua yi xue za zhi·2007
Same author

[Combined anterior and posterior approach for cervical fracture-dislocation with ankylosing spondylitis].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2007
Same journal

Contemporary Oral and Maxillofacial Trauma: A Dental Perspective.

Dental clinics of North America·2026
Same journal

The Expanding Role of Virtual Surgical Planning in Maxillofacial Trauma Management.

Dental clinics of North America·2026
Same journal

Revision Surgery for Occlusal Correction in Facial Trauma.

Dental clinics of North America·2026
Same journal

Mandibular Condylar Fractures and Occlusal Management.

Dental clinics of North America·2026
Same journal

Occlusion Management in Facial Trauma: A Literature Review.

Dental clinics of North America·2026
Same journal

Dental Implants in Rehabilitation of Patients with Facial Trauma: a Review of Most Current Practices.

Dental clinics of North America·2026
查看所有相关文章

相关实验视频

Updated: Mar 15, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.9K

机器学习,深度学习和主动学习背后的科学

Rui Qi Chen1, Yeonju Lee1, Jing Li1

  • 1H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, USA.

Dental clinics of North America
|March 13, 2026
PubMed
概括
此摘要是机器生成的。

机器学习和深度学习通过自动化复杂扫描的分析来推进牙科诊断. 积极学习和人工智能策略可以提高牙科成像和治疗计划的准确性和效率.

关键词:
积极学习是指积极学习.人工智能在牙科中的应用深度学习是一种深度学习.机器学习 机器学习

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.6K

相关实验视频

Last Updated: Mar 15, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.9K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.6K

科学领域:

  • 人工智能在牙科中的应用
  • 机器学习应用 机器学习应用
  • 医学成像分析 医学成像分析

背景情况:

  • 现代牙科产生复杂的数据,需要先进的分析工具.
  • 人工智能 (AI) 提供了分析医疗图像的强大方法.
  • 机器学习 (ML),深度学习 (DL) 和主动学习 (AL) 是关键的人工智能技术.

研究的目的:

  • 在牙科中介绍ML,DL和AL的核心概念.
  • 解释AI在自动化牙科数据分析中的作用.
  • 突出人工智能对牙科诊断和治疗的影响.

主要方法:

  • 专注于深度学习模型,如卷积神经网络和变压器.
  • 探索积极学习策略,以尽量减少数据注释.
  • 使用解剖规则整合基于知识的方法.

主要成果:

  • 人工智能可以从CBCT扫描中自动检测和细分周周病变.
  • DL模型在分析复杂的牙科数据方面显示出显著的潜力.
  • 积极学习有效地减少了手动数据标签的负担.

结论:

  • 人工智能,特别是DL和AL,正在彻底改变牙科诊断和临床决策支持.
  • 这些技术提高了治疗计划的准确性和效率.
  • 人工智能的整合正在塑造牙科护理和患者结果的未来.