Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2006-03-22
2010-02-09
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
Reexamination Certificate
active
07660775
ABSTRACT:
One embodiment of the present invention provides a system that constructs a classifier that distinguishes between different classes of data points. During operation, the system first receives a data set, which includes class-one data points and class-two data points. For each class-one data point in the data set, the system uses a separating primitive to produce a set of point-to-point separating boundaries, wherein each point-to-point separating boundary separates the class-one data point from a different class-two data point. Next, the system combines separating boundaries in the set of separating boundaries to produce a point-to-class separating boundary that separates the class-one data point from all of the class-two data points in the data set. Finally, the system combines the point-to-class separating boundaries for each of the class-one data points to produce a class-to-class separating boundary for the classifier that separates all of the class-one data points from all of the class-two data points in the data set.
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Bougaev Anton A.
Urmanov Aleksey M.
Holmes Michael B
Park Vaughan & Fleming LLP
Sun Microsystems Inc.
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