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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:
$3.64万
依托单位:
依托单位国家:
加拿大
项目类别:
Canada Research Chairs
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

Matwin, Stan的其他基金

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中文摘要
翻译
现代机器学习(ML)和深度学习方法的最新重要突破伴随着对ML系统的透明性和公平性的关注。在这种情况下,可解释性,理解为向人类解释和呈现ML系统的能力,成为现代ML系统的重要要求。这个研究项目将解决可解释性的几个重要方面,包括关系知识表示技术的新用途,我在这方面取得了重大成就。该计划的主轴是研究生的参与,以及机器学习在达尔豪西大学的健康和海洋的优先研究领域的合作应用。
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: