公开(公告)号：US07324927B2

公开(公告)日：2008-01-29

申请号：US10613366

申请日：2003-07-03

申请人： Fuliang Weng ,  Yaqian Zhou

发明人： Fuliang Weng ,  Yaqian Zhou

IPC分类号： G06F17/10

CPC分类号： G06F17/27 ,  G06F17/2715 ,  G06K9/623

摘要： A method to select features for maximum entropy modeling in which the gains for all candidate features are determined during an initialization stage and gains for only top-ranked features are determined during each feature selection stage. The candidate features are ranked in an ordered list based on the determined gains, a top-ranked feature in the ordered list with a highest gain is selected, and the model is adjusted using the selected top-ranked feature.

摘要翻译： 选择用于最大熵建模的特征的方法，其中在初始化阶段期间确定所有候选特征的增益，并且在每个特征选择阶段期间确定仅顶级特征的增益。 基于所确定的增益，候选特征被排列在有序列表中，选择具有最高增益的有序列表中的排名最高的特征，并且使用所选择的顶级特征来调整模型。

公开(公告)号：US20050021317A1

公开(公告)日：2005-01-27

申请号：US10613366

申请日：2003-07-03

申请人： Fuliang Weng ,  Yaqian Zhou

发明人： Fuliang Weng ,  Yaqian Zhou

IPC分类号： G06F20060101 ,  G06F17/10

CPC分类号： G06F17/27 ,  G06F17/2715 ,  G06K9/623

摘要： A method to select features for maximum entropy modeling in which the gains for all candidate features are determined during an initialization stage and gains for only top-ranked features are determined during each feature selection stage. The candidate features are ranked in an ordered list based on the determined gains, a top-ranked feature in the ordered list with a highest gain is selected, and the model is adjusted using the selected using the top-ranked feature.

摘要翻译： 选择用于最大熵建模的特征的方法，其中在初始化阶段期间确定所有候选特征的增益，并且在每个特征选择阶段期间确定仅顶级特征的增益。 基于所确定的增益，候选特征被排列在有序列表中，选择具有最高增益的有序列表中的排名最高的特征，并且使用排名最高的特征使用选择来调整模型。