GRAPH-BASED FRAMEWORK FOR MULTI-TASK MULTI-VIEW LEARNING
    31.
    发明申请
    GRAPH-BASED FRAMEWORK FOR MULTI-TASK MULTI-VIEW LEARNING 有权
    用于多任务多视图学习的基于图形的框架

    公开(公告)号:US20130325756A1

    公开(公告)日:2013-12-05

    申请号:US13488885

    申请日:2012-06-05

    IPC分类号: G06F15/18

    CPC分类号: G06K9/628

    摘要: A system and method a Multi-Task Multi-View (M2TV) learning problem. The method uses the label information from related tasks to make up for the lack of labeled data in a single task. The method further uses the consistency among different views to improve the performance. It is tailored for the above complicated dual heterogeneous problems where multiple related tasks have both shared and task-specific views (features), since it makes full use of the available information.

    摘要翻译: 多任务多视图(M2TV)学习问题的系统和方法。 该方法使用相关任务的标签信息来弥补单个任务中缺少标记数据。 该方法进一步使用不同视图之间的一致性来提高性能。 它针对上述复杂的双重异构问题,其中多个相关任务具有共享和任务特定的视图(特征),因为它充分利用了可用的信息。