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Calculus of thought = neuromorphic l...
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Rice, Daniel M.
Calculus of thought = neuromorphic logistic regression in cognitive machines /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Calculus of thought/ Daniel M. Rice.
Reminder of title:
neuromorphic logistic regression in cognitive machines /
Author:
Rice, Daniel M.
Published:
Waltham, Mass. :Academic Press, an imprint of Elsevier, : 2014.,
Description:
xiv, 280 p. :ill. ; : 23 cm.;
Subject:
Computational neuroscience. -
Online resource:
http://www.sciencedirect.com/science/book/9780124104075
ISBN:
9780124104075 (electronic bk.)
Calculus of thought = neuromorphic logistic regression in cognitive machines /
Rice, Daniel M.
Calculus of thought
neuromorphic logistic regression in cognitive machines /[electronic resource] :Daniel M. Rice. - Waltham, Mass. :Academic Press, an imprint of Elsevier,2014. - xiv, 280 p. :ill. ;23 cm.
Includes bibliographical references and index.
Calculus ratiocinator -- Most likely inference -- Probability learning and memory -- Causal reasoning -- Neural calculus -- Oscillating neural synchrony -- Alzheimer's and mind-brain problems -- Let us calculate.
A must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. This book is inspired by the Calculus Ratiocinator idea of Gottfried Leibniz, which is that machine computation should be developed to simulate human cognitive processes, thus avoiding problematic subjective bias in analytic solutions to practical and scientific problems. The reduced error logistic regression (RELR) method is proposed as such a "Calculus of Thought."
ISBN: 9780124104075 (electronic bk.)
LCCN: 2013045343Subjects--Topical Terms:
581378
Computational neuroscience.
LC Class. No.: QP357.5 / .R53 2014
Dewey Class. No.: 612.8/233
Calculus of thought = neuromorphic logistic regression in cognitive machines /
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neuromorphic logistic regression in cognitive machines /
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Daniel M. Rice.
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Academic Press, an imprint of Elsevier,
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xiv, 280 p. :
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ill. ;
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23 cm.
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Includes bibliographical references and index.
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Calculus ratiocinator -- Most likely inference -- Probability learning and memory -- Causal reasoning -- Neural calculus -- Oscillating neural synchrony -- Alzheimer's and mind-brain problems -- Let us calculate.
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A must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. This book is inspired by the Calculus Ratiocinator idea of Gottfried Leibniz, which is that machine computation should be developed to simulate human cognitive processes, thus avoiding problematic subjective bias in analytic solutions to practical and scientific problems. The reduced error logistic regression (RELR) method is proposed as such a "Calculus of Thought."
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http://www.sciencedirect.com/science/book/9780124104075
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