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Bernard Widrow (born
December 24, 1929) is a U.S.
professor of
electrical engineering at
Stanford University. He is the co-inventor of the
Widrow–Hoff least...
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physical device that
implemented it. It was
developed by
professor Bernard Widrow and his
doctoral student Marcian Hoff at
Stanford University in 1960. It...
- In
machine learning, the
delta rule is a
gradient descent learning rule for
updating the
weights of the
inputs to
artificial neurons in a single-layer...
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Laboratory at the
Stanford School of
Electrical Engineering by
Professor Bernard Widrow and John Kaunitz, an
Australian doctoral student, and do****ented in the...
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diagram Institute of Telecommunicatons,
University of
Stuttgart Bernard Widrow, István Kollár (2008-07-03),
Quantization Noise:
Roundoff Error in Digital...
- time. It was
invented in 1960 by
Stanford University professor Bernard Widrow and his
first Ph.D. student, Ted Hoff,
based on
their research in single-layer...
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developed by
Bernard Widrow in 1960.
Memistors formed basic components of a
neural network architecture called ADALINE developed by
Widrow. The
memistor was...
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Widrow, Bernard; Stearns,
Samuel D. (1985).
Adaptive Signal Processing (1st ed.). Prentice-Hall. p. 329. ISBN 978-0130040299.
Widrow p 304
Widrow p...
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method implemented by
Widrow, and
Maximum Likelihood Method (MLM),
developed in 1969 by Capon. Both the
Applebaum and the
Widrow algorithms are very similar...
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probabilistic interpretation was
introduced by
researchers including Hopfield,
Widrow and
Narendra and po****rized in
surveys such as the one by Bishop. There...
