By Daniel M. Rice

*Calculus of idea: Neuromorphic Logistic Regression in Cognitive Machines *is a must-read for all scientists a few extremely simple computation approach designed to simulate big-data neural processing. This booklet is electrified by means of the Calculus Ratiocinator thought of Gottfried Leibniz, that's that desktop computation can be built to simulate human cognitive methods, hence keeping off complicated subjective bias in analytic strategies to sensible and medical problems.

The decreased errors logistic regression (RELR) strategy is proposed as this type of "Calculus of Thought." This e-book experiences how RELR's thoroughly computerized processing might parallel vital facets of particular and implicit studying in neural tactics. It emphasizes the truth that RELR is actually only a easy adjustment to already popular logistic regression, in addition to RELR's new purposes that pass well past ordinary logistic regression in prediction and clarification. Readers will learn the way RELR solves one of the most simple difficulties in today’s huge and small info regarding excessive dimensionality, multi-colinearity, and cognitive bias in capricious results regularly regarding human behavior.

• presents a high-level creation and special studies of the neural, statistical and computing device studying wisdom base as a origin for a brand new period of smarter machines

• Argues that smarter laptop studying to deal with either clarification and prediction with out cognitive bias should have a origin in cognitive neuroscience and needs to embrace comparable specific and implicit studying rules that take place within the brain

• deals a brand new neuromorphic origin for desktop studying dependent upon the diminished blunders logistic regression (RELR) strategy and offers easy examples of RELR computations in toy difficulties that may be accessed in spreadsheet workbooks via a spouse web site

**Read or Download Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines PDF**

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**Additional info for Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines**

**Example text**

Between any two supposedly adjacent atomic numbers, chemists have repeatedly found a third. Then if there are less than one hundred elements and we cannot necessarily infer the falsity of 1. 2 is true, Principle 2a and its generalizations are very important, as the sequel will show, and for the sake of convenience we give them a name, the Law of Contradiction and Interchange. " This principle, under a different form, plays a very important role, especially in mathematics. " This consists simply in assuming that the theorem to be proven is false, and then demonstrating that an inconsistency with certain assumptions occurs.

Before investigating the laws of this science, a few preliminary definitions and remarks are necessary. " This term is really fundamental and no precise definition can be given. But we may distinguish the term "proposition" from other allied expressions by recalling the distinction made in elementary grammar between declarative sentences and 17 . ELEMENTS OF LOGIC 18 Other types of sentences, for a proposition is essentially the former. " are not propositions in our sense of the word. But the logician makes a distinction between two different compare these declarative types of propositions.

We — — resent this specific value by the letter a; hy X — y. , equal to + 1 + x"); — x'y x" — y" is divisible . ELEMENTS OF LOGIC 32 we have merely added and latter may be written since subtracted the same quantity, xy. The x"*^ x''(x But this last expression — xy xy — y" + s — y) + y (x" — y"). -{- is divisible obviously is, and the latter part is the last expression is equal to x"''^ or — by x y, since the first part by hypothesis. Hence, since — y"''^, we may say that this — y. " But, as a matter of fact, x^ — y, or X — y, divisible by x — y.

### Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines by Daniel M. Rice

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