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Classification: methodology for variable selection and efficient tuning and comparasion of models

Classification: methodology for variable selection and efficient tuning and comparasion of models
分类:变量选择和模型高效调整和比较的方法
批准号:
36462-2008
负责人:
Welch, William
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

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中文摘要
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英文摘要
Complex, high-dimensional data arise in many important classification problems. For example, in drug discovery, drug-like molecules are characterized by hundreds or thousands of chemical descriptor variables. The classification problem is to model the relationship between the chemical descriptors and the active/inactive assay response desired of the drug being developed, e.g., binding to a particular enzyme. Another data challenge is that active compounds are very rare in the assay data used to train models (the rare-class of interest problem).
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Adaptive Design for Fast Machine/Statistical Learning
  • 批准号:
    RGPIN-2019-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2022
  • 负责人:
    Welch, William
  • 依托单位:
Adaptive Design for Fast Machine/Statistical Learning
  • 批准号:
    RGPIN-2019-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2021
  • 负责人:
    Welch, William
  • 依托单位:
Adaptive Design for Fast Machine/Statistical Learning
  • 批准号:
    RGPIN-2019-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2020
  • 负责人:
    Welch, William
  • 依托单位:
Adaptive Design for Fast Machine/Statistical Learning
  • 批准号:
    RGPIN-2019-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2019
  • 负责人:
    Welch, William
  • 依托单位:
国内基金
海外基金
基于成份法的致洪暴雨过程组织化深厚湿对流机理研究