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相关概念视频

The Representativeness Heuristic02:13

The Representativeness Heuristic

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The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Multiple Regression01:25

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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Collisions in Multiple Dimensions: Problem Solving01:06

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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Collisions in Multiple Dimensions: Introduction01:05

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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一项关于用于多视图数据的表示学习的调查.

Yalan Qin1, Xinpeng Zhang1, Shui Yu2

  • 1School of Communication and Information Engineering, Shanghai University, China.

Neural networks : the official journal of the International Neural Network Society
|November 8, 2024
PubMed
概括
此摘要是机器生成的。

这项调查为多视图集群算法提供了一个新的分类,分为自我监督和非自我监督的类别. 它提供了现有方法的全面概述,帮助研究人员在这个快速增长的机器学习领域.

关键词:
相反的方法对比方法.生成性方法 生成性方法.基于非代表性学习的方法.非自主监督的多视图集群.代表性基于学习的方法.自主监督的多视图集群.

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科学领域:

  • 机器学习 机器学习
  • 数据挖掘 数据挖掘
  • 人工智能的人工智能

背景情况:

  • 多视图集群利用来自不同数据源的信息.
  • 现有的调查往往忽视了自我监督和非自我监督方法的整合.
  • 这一领域在过去几十年中出现了显著的增长.

研究的目的:

  • 提供多视图集群算法的新调查和分类.
  • 将现有方法分为自我监督和非自我监督的框架.
  • 提供对多视图集群的发展有洞察力的概述.

主要方法:

  • 分类为非自主监督和自主监督的多视图集群.
  • 对非自我监督方法的审查:非表示学习 (矩阵分解,内核) 和表示学习 (图形,深度,子空间).
  • 自主监督方法的审查:对比和生成方法.

主要成果:

  • 多视图聚类技术的结构化分类.
  • 详细检查每个类别内的各种算法.
  • 在监督和无监督学习模式中确定关键方法.

结论:

  • 该调查将现有知识整合到多视图集群中.
  • 它强调了考虑自我监督和非自我监督方法的重要性.
  • 为机器学习和数据挖掘领域的研究人员提供了宝贵的资源.