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公开(公告)号：US20110099131A1
公开(公告)日：2011-04-28
申请号：US12603763
申请日：2009-10-22
CPC分类号： G06N99/005 , G06F17/30707
摘要： The present invention provides methods and systems for binary classification of items. Methods and systems are provided for constructing a machine learning-based and pairwise ranking method-based classification model for binary classification of items as positive or negative with regard to a single class, based on training using a training set of examples including positive examples and unlabelled examples. The model includes only one hyperparameter and only one threshold parameter, which are selected to optimize the model with regard to constraining positive items to be classified as positive while minimizing a number of unlabelled items classified as positive.
摘要翻译： 本发明提供了用于项目二进制分类的方法和系统。 提供方法和系统，用于构建基于机器学习和成对排序方法的分类模型，对于单个类别的项目的二进制分类为正或负，基于使用包括正面示例和未标记的示例的训练集的训练 例子。 该模型仅包括一个超参数和仅一个阈值参数，其被选择以优化模型以限制正项目被分类为正，同时使被分类为阳性的未标记项目的数量最小化。
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公开(公告)号：US08271408B2
公开(公告)日：2012-09-18
申请号：US12603763
申请日：2009-10-22
CPC分类号： G06N99/005 , G06F17/30707
摘要： The present invention provides methods and systems for binary classification of items. Methods and systems are provided for constructing a machine learning-based and pairwise ranking method-based classification model for binary classification of items as positive or negative with regard to a single class, based on training using a training set of examples including positive examples and unlabelled examples. The model includes only one hyperparameter and only one threshold parameter, which are selected to optimize the model with regard to constraining positive items to be classified as positive while minimizing a number of unlabelled items classified as positive.
摘要翻译： 本发明提供了用于项目二进制分类的方法和系统。 提供方法和系统，用于构建基于机器学习和成对排序方法的分类模型，对于单个类别的项目的二进制分类为正或负，基于使用包括正面示例和未标记的示例的训练集的训练 例子。 该模型仅包括一个超参数和仅一个阈值参数，其被选择以优化模型以限制正项目被分类为正，同时使被分类为阳性的未标记项目的数量最小化。
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