Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2006-11-21
2006-11-21
Starks, Jr., Wilbert L. (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C706S045000, C382S157000
Reexamination Certificate
active
07139739
ABSTRACT:
A method, system, and computer product is presented for mapping a set of patterns into an m-dimensional space so as to preserve relationships that may exist between these patterns. A subset of the input patterns is chosen and mapped into the m-dimensional space using an iterative nonlinear mapping process based on subset refinements. A set of n attributes are determined for each pattern, and one or more neural networks or other supervised machine learning techniques are then trained in accordance with the mapping produced by the iterative process. Additional input patterns not in the subset are mapped into the m-dimensional space by determining their n input attributes and using the neural networks in a feed-forward (prediction) mode.
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Agrafiotis Dimitris K
Lobanov Victor S
Rassokhin Dmitrii N
Salemme Francis R
Johnson & Johnson Pharmaceutical Research & Developmen
Starks, Jr. Wilbert L.
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