Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2011-02-15
2011-02-15
Starks, Jr., Wilbert L (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C706S045000
Reexamination Certificate
active
07890441
ABSTRACT:
Embodiments of the invention provide methods and apparatuses for classifying electronic documents (e.g., electronic communications) as either spam electronic documents or legitimate electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic communications is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The multi-dimensional vectors represent corresponding electronic documents that have been classified as at least one type of electronic documents. Subsequent electronic documents to be classified are reduced to a corresponding multi-dimensional vector inserted into the multi-dimensional vector space. The electronic documents corresponding to an inserted multi-dimensional vector are classified based upon the proximity of the inserted multi-dimensional vector to at least one previously classified multi-dimensional vectors of the multi-dimensional vector space.
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Prakash Vipul V.
Stemm Mark
Cloudmark, Inc.
Schwegman Lundberg & Woessner, P.A.
Starks, Jr. Wilbert L
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