Invention Grant
- Patent Title: Adaptation of exponential models
- Patent Title (中): 指数模型的适应
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Application No.: US10977871Application Date: 2004-10-29
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Publication No.: US07860314B2Publication Date: 2010-12-28
- Inventor: Ciprian I. Chelba , Alejandro Acero
- Applicant: Ciprian I. Chelba , Alejandro Acero
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Westman, Champlin & Kelly, P.A.
- Agent Theodore M. Magee
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
A method and apparatus are provided for adapting an exponential probability model. In a first stage, a general-purpose background model is built from background data by determining a set of model parameters for the probability model based on a set of background data. The background model parameters are then used to define a prior model for the parameters of an adapted probability model that is adapted and more specific to an adaptation data set of interest. The adaptation data set is generally of much smaller size than the background data set. A second set of model parameters are then determined for the adapted probability model based on the set of adaptation data and the prior model.
Public/Granted literature
- US20060018541A1 Adaptation of exponential models Public/Granted day:2006-01-26
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