System or method for selecting classifier attribute types
First Claim
1. A method for configuring a filter for use with a classifier, comprising:
- selectively identifying a subset of attribute types from a plurality of attribute types with a distribution statistic;
converting an attribute value associated with each attribute type into a scaled value; and
modifying the filter so that only the subset of attribute types are accessible by the classifier.
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Accused Products
Abstract
A system or method (collectively “selection system”) is disclosed for selecting attributes for a classifier in a sensor system. The selection system selects attribute types using statistical distributions of the attribute values associated with those attribute types. Attribute types not within the selectively identified subset of attribute types can be filtered out before such data is sent to a classifier. The system can use a test data subsystem for storing and accessing actual sensor data. A distribution analysis subsystem can perform statistical analyses on the test data to identify underlying distributions, and to compare individual attribute types to such distributions. An attribute selection subsystem, wherein said attribute selection subsystem selectively identifies a subset of attribute types from said subset of attribute types.
45 Citations
23 Claims
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1. A method for configuring a filter for use with a classifier, comprising:
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selectively identifying a subset of attribute types from a plurality of attribute types with a distribution statistic; converting an attribute value associated with each attribute type into a scaled value; and modifying the filter so that only the subset of attribute types are accessible by the classifier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for selecting attribute types for inclusion in a classifier, comprising:
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a test data subsystem, including a data sample comprising a plurality of attribute types;
wherein said test data subsystem further includes a normalization module, said normalization module including a plurality of scaled values, wherein said normalization module generates said plurality of scaled values, and associates said plurality of scaled values with said plurality of attribute types;a distribution analysis subsystem, including a plurality of distribution statistics, wherein said distribution analysis subsystem generates said plurality of distribution statistics from said plurality of attribute types; and an attribute selection subsystem, wherein said attribute selection subsystem selectively identifies a subset of attribute types from said plurality of attribute types. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23)
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Specification