Invention Grant
US08386232B2 Predicting results for input data based on a model generated from clusters
有权
基于从集群生成的模型预测输入数据的结果
- Patent Title: Predicting results for input data based on a model generated from clusters
- Patent Title (中): 基于从集群生成的模型预测输入数据的结果
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Application No.: US11445587Application Date: 2006-06-01
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Publication No.: US08386232B2Publication Date: 2013-02-26
- Inventor: Fuchun Peng
- Applicant: Fuchun Peng
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Hickman Palermo Truong Becker Bingham Wong LLP
- Main IPC: G06F17/28
- IPC: G06F17/28

Abstract:
A method for predicting results for input data based on a model that is generated based on clusters of related characters, clusters of related segments, and training data. The method comprises receiving a data set that includes a plurality of words in a particular language. In the particular language, words are formed by characters. Clusters of related characters are formed from the data set. A model is generated based at least on the clusters of related characters and training data. The model may also be based on the clusters of related segments. The training data includes a plurality of entries, wherein each entry includes a character and a designated result for said character. A set of input data that includes characters that have not been associated with designated results is received. The model is applied to the input data to determine predicted results for characters within the input data.
Public/Granted literature
- US20070282591A1 Predicting results for input data based on a model generated from clusters Public/Granted day:2007-12-06
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