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Title: Method for guessing the response of a physical system to an arbitrary input

Patent ·
OSTI ID:870508

Stacked generalization is used to minimize the generalization errors of one or more generalizers acting on a known set of input values and output values representing a physical manifestation and a transformation of that manifestation, e.g., hand-written characters to ASCII characters, spoken speech to computer command, etc. Stacked generalization acts to deduce the biases of the generalizer(s) with respect to a known learning set and then correct for those biases. This deduction proceeds by generalizing in a second space whose inputs are the guesses of the original generalizers when taught with part of the learning set and trying to guess the rest of it, and whose output is the correct guess. Stacked generalization can be used to combine multiple generalizers or to provide a correction to a guess from a single generalizer.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Assignee:
United States of America as represented by United States (Washington, DC)
Patent Number(s):
US 5535301
OSTI ID:
870508
Country of Publication:
United States
Language:
English

References (5)

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Minimum mean absolute error estimation over the class of generalized stack filters journal April 1990