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Utilizing unlabeled data for machine learning tasks - theoretical analysis

Utilizing unlabeled data for machine learning tasks - theoretical analysis
利用未标记数据进行机器学习任务 - 理论分析
批准号：
RGPIN-2015-04654
负责人：
BenDavid, Shai
金额：
$2.62万
依托单位：
University of Waterloo
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2017
资助国家：
加拿大
项目状态：
已结题
起止时间：
2017-01-01 至 2018-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635102
关键词：
Utilizingunlabeleddatamachinelearning

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中文摘要
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英文摘要
Mainstream machine learning tools depend on the availability of human annotated training data. Nowaday, in what is called the ``big data" era, applications of machine learning have access to very large amounts of un-annotated (a.k.a. unlabeled) data. Consequently, there is vast interest in designing machine learning tools that can utilize such big pools of raw, unannotated data to reduce the need for human intervention in the learning process. Various recently arising machine learning paradigms address this issue. These include Clustering, Active Learning, Semi-Supervised Learning, Domain Adaptation and Transfer Learning, as well as Learning from ``Weak Teachers" (like supervision obtained via crowdsourcing).
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Machine Learning Beyond Prediction - Extracting Insights and Guiding Actions
  • 批准号：
    RGPIN-2020-04333
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.99万
  • 财政年份：
    2022
  • 负责人：
    BenDavid, Shai
  • 依托单位：
    University of Waterloo
Machine Learning Beyond Prediction - Extracting Insights and Guiding Actions
  • 批准号：
    RGPIN-2020-04333
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.99万
  • 财政年份：
    2021
  • 负责人：
    BenDavid, Shai
  • 依托单位：
    University of Waterloo
Machine Learning Beyond Prediction - Extracting Insights and Guiding Actions
  • 批准号：
    RGPIN-2020-04333
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.99万
  • 财政年份：
    2020
  • 负责人：
    BenDavid, Shai
  • 依托单位：
    University of Waterloo
Utilizing unlabeled data for machine learning tasks - theoretical analysis
  • 批准号：
    RGPIN-2015-04654
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.62万
  • 财政年份：
    2019
  • 负责人：
    BenDavid, Shai
  • 依托单位：
    University of Waterloo
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