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US Patent 8239335 Data classification using machine learning techniques

Patent 8239335 was granted and assigned to Kofax on August, 2012 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Kofax
Kofax
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
82393350
Patent Inventor Names
Mauritius A. R. Schmidtler0
Roland Borrey0
Date of Patent
August 7, 2012
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Patent Application Number
130335360
Date Filed
February 23, 2011
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Patent Citations Received
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US Patent 11977841 Classification of documents
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US Patent 11704352 Automated categorization and assembly of low-quality images into electronic documents
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US Patent 11714831 Data processing and classification
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US Patent 11783005 Classifying and mapping sentences using machine learning
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US Patent 11881041 Automated categorization and processing of document images of varying degrees of quality
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US Patent 11893132 Discovery of personal data in machine learning models
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US Patent 11694100 Classifying and grouping sentences using machine learning
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Patent Primary Examiner
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Omar Fernandez Rivas
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Patent abstract

A system and article of manufacture enabling adapting to a shift in document content according to one embodiment of the present invention includes instructions for: receiving at least one labeled seed document; receiving unlabeled documents; receiving at least one predetermined cost factor; training a transductive classifier using the at least one predetermined cost factor, the at least one seed document, and the unlabeled documents; classifying the unlabeled documents having a confidence level above a predefined threshold into a plurality of categories using the classifier; reclassifying at least some of the categorized documents into the categories using the classifier; and outputting identifiers of the categorized documents to at least one of a user, another system, and another process. Systems and articles of manufacture for separating documents are also presented. Systems and articles of manufacture for document searching are also presented.

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