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Interpretability for Machine Learning

Interpretability for Machine Learning
机器学习的可解释性
批准号:
CRC-2019-00383
负责人:
Matwin, Stan
金额:
$14.57万
依托单位:
依托单位国家:
加拿大
项目类别:
Canada Research Chairs
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
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英文摘要
Recent important breakthroughs of modern Machine Learning (ML) and Deep Learning methods are accompanied by the concerns about transparency and fairness of ML systems. In this context interpretability, understood as the ability to explain and present ML systems to humans, becomes an important requirement for modern ML systems. This research program will tackle several important aspects of interpretability, including novel use of relational knowledge representation techniques in which I have significant accomplishments. The programs principal axes are the involvement of graduate students, as well as collaborative applications of Machine Learning in Dalhousie Universitys priority research areas of Health and Oceans.
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Interpretability for Machine Learning
  • 批准号:
    CRC-2019-00383
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $14.57万
  • 财政年份:
    2022
  • 负责人:
    Matwin, Stan
  • 依托单位:
Causality in Machine Learning
  • 批准号:
    RGPIN-2022-03667
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2022
  • 负责人:
    Matwin, Stan
  • 依托单位:
Automated Monitoring of the Naval Information Space (AMNIS)
  • 批准号:
    550722-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $20.4万
  • 财政年份:
    2021
  • 负责人:
    Matwin, Stan
  • 依托单位:
Research Challenges in Privacy-Aware Mobility Data Analysis and in Text Mining with Enriched Data
  • 批准号:
    RGPIN-2016-03913
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.77万
  • 财政年份:
    2021
  • 负责人:
    Matwin, Stan
  • 依托单位:
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: