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相关概念视频

Leveling Effect01:29

Leveling Effect

776
In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
776
Associative Learning01:27

Associative Learning

308
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...
308
Cognitive Learning01:21

Cognitive Learning

227
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...
227
Introduction to Learning01:18

Introduction to Learning

341
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...
341
Observational Learning01:12

Observational Learning

145
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...
145
Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

74
Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
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相关实验视频

Updated: Jun 11, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

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基于多层次对比学习的增强知识图推算法.

Zhang Rong1, Liu Yuan2, Li Yang3

  • 1School of Internet of Things Engineering, Jiangsu Vocational College of Information Technology, Wuxi, 214153, China. 95291188@qq.com.

Scientific reports
|October 4, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了基于知识图的推系统的新框架,使用多层次的对比学习来克服数据稀疏性并提高个性化准确性.

关键词:
相反的学习学习.图形神经网络 (GNN) 是一个神经网络.知识图表知识图表意识到知识的建议建议.推系统是推系统.

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相关实验视频

Last Updated: Jun 11, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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科学领域:

  • 人工智能的人工智能
  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学

背景情况:

  • 知识图 (KG) 改进了推系统,但由于长尾分布,数据稀疏.
  • 现有的方法很难有效地利用KG信息进行个性化建议.

研究的目的:

  • 提出一个以知识为基础的推框架,解决KG中的数据稀疏性.
  • 通过多层次的对比学习来提高推准确性和个性化.

主要方法:

  • 一个协作知识图 (CKG) 使用随机边缘掉落来增强多层次特征表示 (用户-用户,项目-项目,用户-项目).
  • 图表注意力网络 (GAT) 具有动态注意力机制模型的KG.
  • 多层次的对比学习,包括非线性转换和动量对比 (Moco),被用作辅助的自我监督任务.

主要成果:

  • 该框架有效地从KG中提取高质量的特征信息.
  • 在MovieLens和亚马逊书籍数据集上的实验结果显示,推性能显著改善.
  • 拟议的方法在各种评估指标中表现优于基线模型.

结论:

  • 基于知识的推框架成功地缓解了KG中的数据稀疏性问题.
  • 多层次的对比学习提高了基于KG的推系统的有效性.
  • 该方法为稀疏数据环境中的个性化建议提供了强大的解决方案.