GENERIC CLASSIFICATION SYSTEM
First Claim
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1. A classification system, comprising:
- (a) a training device for;
(i) selecting which one of a plurality of training classification algorithms best classifies a set of training vectors, and(ii) finding a set of values, of parameters of a generic classification algorithm, that enable said generic classification algorithm to substantially emulate said selected training classification algorithm; and
(b) at least one classification device for classifying at least one vector other than said training vectors, using said generic classification algorithm with said values.
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Abstract
A classification system including a training device and one or more classification device for classifying one or more vectors other than training vectors. The training device is for selecting which training classification algorithms best classifies a set of training vectors, and for finding a set of values, of parameters of a generic classification algorithm, that enable the generic classification algorithm to substantially emulate the selected training classification algorithm.
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Citations
20 Claims
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1. A classification system, comprising:
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(a) a training device for; (i) selecting which one of a plurality of training classification algorithms best classifies a set of training vectors, and (ii) finding a set of values, of parameters of a generic classification algorithm, that enable said generic classification algorithm to substantially emulate said selected training classification algorithm; and (b) at least one classification device for classifying at least one vector other than said training vectors, using said generic classification algorithm with said values. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A classification system, comprising:
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(a) a training device for selecting which one of a plurality of classification algorithms best classifies a set of training vectors; and (b) at least one classification device for classifying at least one vector other than said training vectors, using said selected classification algorithm. - View Dependent Claims (17, 18, 19, 20)
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Specification