The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 28, 2012

Filed:

Dec. 17, 2008
Applicants:

Jianfeng Gao, Kirkland, WA (US);

Yi Su, Baltimore, MD (US);

Qiang Wu, Sammamish, WA (US);

Chris J. C. Burges, Bellevue, WA (US);

Krysta Svore, Seattle, WA (US);

Elbio Renato Torres Abib, Redmond, WA (US);

Inventors:

Jianfeng Gao, Kirkland, WA (US);

Yi Su, Baltimore, MD (US);

Qiang Wu, Sammamish, WA (US);

Chris J. C. Burges, Bellevue, WA (US);

Krysta Svore, Seattle, WA (US);

Elbio Renato Torres Abib, Redmond, WA (US);

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

Model adaptation may be performed to take a general model trained with a set of training data (possibly large), and adapt the model using a set of domain-specific training data (possibly small). The parameters, structure, or configuration of a model trained in one domain (called the background domain) may be adapted to a different domain (called the adaptation domain), for which there may be a limited amount of training data. The adaption may be performed using the Boosting Algorithm to select an optimal basis function that optimizes a measure of error of the model as it is being iteratively refined, i.e., adapted.


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