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US08209270B2 Supervised learning with multi-scale time intervals using a statistical classification model to classify unlabeled events 有权
使用统计分类模型对多标度时间间隔进行监督学习，对未标记的事件进行分类

  • Patent Title: Supervised learning with multi-scale time intervals using a statistical classification model to classify unlabeled events
  • Patent Title (中): 使用统计分类模型对多标度时间间隔进行监督学习，对未标记的事件进行分类
  • Application No.: US13195755
    Application Date: 2011-08-01
  • Publication No.: US08209270B2
    Publication Date: 2012-06-26
  • Inventor: Ullas Gargi , Jay Yagnik
  • Applicant: Ullas Gargi , Jay Yagnik
  • Applicant Address: US CA Mountain View
  • Assignee: Google Inc.
  • Current Assignee: Google Inc.
  • Current Assignee Address: US CA Mountain View
  • Agency: Fenwick & West LLP
  • Main IPC: G06F11/00
  • IPC: G06F11/00
Supervised learning with multi-scale time intervals using a statistical classification model to classify unlabeled events
Abstract:
A method, a system and a computer program product generate a statistical classification model used by a computer system to determine a class associated with an unlabeled time series event.
Abstract(Chinese):

方法，系统和计算机程序产品生成计算机系统使用的统计分类模型来确定与未标记的时间序列事件相关联的类别。

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