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.

Patent No.:

US 7630945 B1

PDF
Full Text
Expired
Date of Patent:
Dec. 08, 2009

Filed:

May. 10, 2006
Applicants:

Sathiya Keerthi Selvaraj, South Pasadena, CA (US);

Dennis M. Decoste, La Canada, CA (US);

Inventors:

Sathiya Keerthi Selvaraj, South Pasadena, CA (US);

Dennis M. DeCoste, La Canada, CA (US);

Assignee:

Yahoo! Inc., Sunnyvale, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overcome this problem a primal system and method with the following properties has been devised: (1) it decouples the idea of basis functions from the concept of support vectors; (2) it greedily finds a set of kernel basis functions of a specified maximum size (d) to approximate the SVM primal cost function well; (3) it is efficient and roughly scales as O(nd) where n is the number of training examples; and, (4) the number of basis functions it requires to achieve an accuracy close to the SVM accuracy is usually far less than the number of SVM support vectors.


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