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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences

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Calculus of Thought - Neuromorphic Logistic Regression in Cognitive Machines (Hardcover) Loot Price: R2,091
Discovery Miles 20 910
Calculus of Thought - Neuromorphic Logistic Regression in Cognitive Machines (Hardcover): Daniel M. Rice

Calculus of Thought - Neuromorphic Logistic Regression in Cognitive Machines (Hardcover)

Daniel M. Rice

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Loot Price R2,091 Discovery Miles 20 910 | Repayment Terms: R196 pm x 12*

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"Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines" is 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." This book reviews how RELR's completely automated processing may parallel important aspects of explicit and implicit learning in neural processes. It emphasizes the fact that RELR is really just a simple adjustment to already widely used logistic regression, along with RELR's new applications that go well beyond standard logistic regression in prediction and explanation. Readers will learn how RELR solves some of the most basic problems in today s big and small data related to high dimensionality, multi-colinearity, and cognitive bias in capricious outcomes commonly involving human behavior.
Provides a high-level introduction and detailed reviews of the neural, statistical and machine learning knowledge base as a foundation for a new era of smarter machines Argues that smarter machine learning to handle both explanation and prediction without cognitive bias must have a foundation in cognitive neuroscience and must embody similar explicit and implicit learning principles that occur in the brainOffers a new neuromorphic foundation for machine learning based upon the reduced error logistic regression (RELR) method and provides simple examples of RELR computations in toy problems that can be accessed in spreadsheet workbooks through a companion website"

General

Imprint: Academic Press Inc
Country of origin: United States
Release date: November 2013
First published: November 2013
Authors: Daniel M. Rice
Dimensions: 229 x 152 x 20mm (L x W x T)
Format: Hardcover
Pages: 272
ISBN-13: 978-0-12-410407-5
Categories: Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 0-12-410407-X
Barcode: 9780124104075

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