Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2005-09-13
2005-09-13
Alam, Shahid Al (Department: 2162)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C706S016000, C706S025000, C706S045000, C709S206000
Reexamination Certificate
active
06944616
ABSTRACT:
A system and method for historical database training of a support vector machine (SVM). The SVM is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the SVM. When multiple presentations are needed to effectively train the SVM, a buffer of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. A historical database of time-stamped data may be used to construct training sets for the SVM. The SVM may be trained retrospectively by searching the historical database and constructing training sets based on the time-stamped data.
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International Search Report, Application No. PCT/US02/38019, mailed Mar. 14, 2003.
Ferguson Ralph Bruce
Hartman Eric J.
Hurley Eric S.
Johnson William Douglas
Al Alam Shahid
Hood Jeffrey C.
Meyertons Hood Kivlin Kowert & Goetzel P.C.
Pavilion Technologies, Inc.
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