Data processing: artificial intelligence – Machine learning
Reexamination Certificate
2007-11-02
2010-11-23
Holmes, Michael (Department: 2129)
Data processing: artificial intelligence
Machine learning
Reexamination Certificate
active
07840505
ABSTRACT:
A classification system that includes a first input module, a marker module, unclassified Lagrange multiplier calculation module, and a classification module. The unclassified vector describes a physical condition. The marker module assigns a marker to the unclassified vector. The marker should place the unclassified vector into one of two classes. The unclassified Lagrange multiplier calculation module calculates a classifying Lagrange multiplier for the unclassified vector using the marker and a classification rule. The classification rule may be generated using a training system for classifying the physical condition. The classification module is configured to determine that the marker places the unclassified vector in the proper class if the classifying Lagrange multiplier is small.
REFERENCES:
patent: 2007/0214013 (2007-09-01), Silverman
patent: 2008/0109389 (2008-05-01), Polyak et al.
Griva Igor
Ho Shen-Shyang
Polyak Roman A.
George Mason Intellectual Properties, Inc.
Grossman David
Holmes Michael
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