Two Theorems of Statistical Separability in the Perceptron PDF Download
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Author: Frank Rosenblatt
Publisher:
ISBN:
Category : Brain
Languages : en
Pages : 98
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Author: Frank Rosenblatt
Publisher:
ISBN:
Category : Brain
Languages : en
Pages : 98
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Author: Matteo Pasquinelli
Publisher: Verso Books
ISBN: 1788730089
Category : Social Science
Languages : en
Pages : 273
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Book Description
A social history of AI that finally reveals its roots in the spatial computation of industrial factories and the surveillance of collective behaviour. What is AI? A dominant view describes it as the quest "to solve intelligence," a solution supposedly to be found in the secret logic of the mind or in the deep physiology of the brain, such as in its complex neural networks. The Eye of the Master argues, to the contrary, that the inner code of AI is shaped not by the imitation of biological intelligence, but the intelligence of labour and social relations, as it is found in Babbage's "calculating engines" of the industrial age as well as in the recent algorithms for image recognition and surveillance. The idea that AI may one day become autonomous (or "sentient", as someone thought of Google's LaMDA) is pure fantasy. Computer algorithms have always imitated the form of social relations and the organisation of labour in their own inner structure and their purpose remains blind automation. The Eye of the Master urges a new literacy on AI for scientists, journalists and new generations of activists, who should recognise that the "mystery" of AI is just the automation of labour at the highest degree, not intelligence per se.
Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Biometry
Languages : en
Pages : 194
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Author: Business and Defense Services Administration
Publisher:
ISBN:
Category :
Languages : en
Pages : 356
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Author: Marvin Minsky
Publisher: MIT Press
ISBN: 0262534770
Category : Computers
Languages : en
Pages : 317
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Book Description
The first systematic study of parallelism in computation by two pioneers in the field. Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou In 1969, ten years after the discovery of the perceptron—which showed that a machine could be taught to perform certain tasks using examples—Marvin Minsky and Seymour Papert published Perceptrons, their analysis of the computational capabilities of perceptrons for specific tasks. As Léon Bottou writes in his foreword to this edition, “Their rigorous work and brilliant technique does not make the perceptron look very good.” Perhaps as a result, research turned away from the perceptron. Then the pendulum swung back, and machine learning became the fastest-growing field in computer science. Minsky and Papert's insistence on its theoretical foundations is newly relevant. Perceptrons—the first systematic study of parallelism in computation—marked a historic turn in artificial intelligence, returning to the idea that intelligence might emerge from the activity of networks of neuron-like entities. Minsky and Papert provided mathematical analysis that showed the limitations of a class of computing machines that could be considered as models of the brain. Minsky and Papert added a new chapter in 1987 in which they discuss the state of parallel computers, and note a central theoretical challenge: reaching a deeper understanding of how “objects” or “agents” with individuality can emerge in a network. Progress in this area would link connectionism with what the authors have called “society theories of mind.”
Author:
Publisher:
ISBN:
Category : Technology
Languages : en
Pages : 8
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Author: M.I. Schlesinger
Publisher: Springer Science & Business Media
ISBN: 9401732175
Category : Computers
Languages : en
Pages : 532
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Book Description
Preface to the English edition This monograph Ten Lectur,es on Statistical and Structural Pattern Recognition uncovers the close relationship between various well known pattern recognition problems that have so far been considered independent. These relationships became apparent when formal procedures addressing not only known prob lems but also their generalisations were discovered. The generalised problem formulations were analysed mathematically and unified algorithms were found. The book unifies of two main streams ill pattern recognition-the statisti cal a11d structural ones. In addition to this bridging on the uppermost level, the book mentions several other unexpected relations within statistical and structural methods. The monograph is intended for experts, for students, as well as for those who want to enter the field of pattern recognition. The theory is built up from scratch with almost no assumptions about any prior knowledge of the reader. Even when rigorous mathematical language is used we make an effort to keep the text easy to comprehend. This approach makes the book suitable for students at the beginning of their scientific career. Basic building blocks are explained in a style of an accessible intellectual exercise, thus promoting good practice in reading mathematical text. The paradoxes, beauty, and pitfalls of scientific research are shown on examples from pattern recognition. Each lecture is amended by a discussion with an inquisitive student that elucidates and deepens the explanation, providing additional pointers to computational procedures and deep rooted errors.
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 638
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Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Documentation
Languages : en
Pages : 608
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Author:
Publisher: Academic Press
ISBN: 9780080566696
Category : Computers
Languages : en
Pages : 452
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Book Description
Advances in Computers
