课题基金 / 基金详情

Knowledge Extraction via Learning Processes and Data Models with Imprecision

Knowledge Extraction via Learning Processes and Data Models with Imprecision
通过不精确的学习过程和数据模型提取知识
批准号:
RGPIN-2017-06245
负责人:
Reformat, Marek
金额:
$2.91万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

项目摘要

项目成果

Reformat, Marek的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
categorical logic; computational intelligence; generalization; knowledge graph clustering; knowledge modelling; resource description framework (RDF); semantic web; text processing; topos; uncertainty/fuzziness
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Knowledge Extraction via Learning Processes and Data Models with Imprecision
  • 批准号:
    RGPIN-2017-06245
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2020
  • 负责人:
    Reformat, Marek
  • 依托单位:
Data-driven system for predicting outages and their severity
  • 批准号:
    537808-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Reformat, Marek
  • 依托单位:
Data-driven system for predicting outages and their severity
  • 批准号:
    537808-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2019
  • 负责人:
    Reformat, Marek
  • 依托单位:
Knowledge Extraction via Learning Processes and Data Models with Imprecision
  • 批准号:
    RGPIN-2017-06245
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2019
  • 负责人:
    Reformat, Marek
  • 依托单位:
海外基金