Learning as the Evolution of Representation: Technical Report 477, November 1898 (Classic Reprint) - Tapa blanda
Sinopsis
Excerpt from Learning as the Evolution of Representation: Technical Report 477, November 1898
It is an old idea that the more pointedly and logically we formu late a thesis, the more irresistibly it cries out for its antithesis.
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Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Reseña del editor
Excerpt from Learning as the Evolution of Representation: Technical Report 477, November 1898
It is an old idea that the more pointedly and logically we formu late a thesis, the more irresistibly it cries out for its antithesis.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Reseña del editor
Excerpt from Learning as the Evolution of Representation: Technical Report 477, November 1898
A widely accepted approach to the formal modelling of learning is to view it as a process of constructing high-level structures that allow compression of raw data. The main results of this thesis are a number of precise formulation of this process, and a few algorithms that carry it out.
Our rigorous definitions allow us to identify of a novel concept of structure: the alphabet. We propose that a learning mechanism is one which constructs such structures as representations of the given data. The alphabet allows to draw interesting links between theories in pattern recognition and pattern classification.
The structural descriptions constructed by the algorithms are based on the two concepts of code and classification used, as data compression tools. We provide means for evaluating the efficiency of the encodings created using ideas from information theory. We reduce learning to an optimization problem and we suggest that the mechanisms proposed work at any descriptive level.
Our approach was inspired by the goal of interpreting learning as the natural evolution of a physical system to its ground states.
The applications discussed include an architecture and a learning rule for neural nets as well as a procedure for grammatical inference. Some of the ideas proposed have been tested on meaningful examples.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Learning as the Evolution of Representation: Technical Report 477
Impresión bajo demandaLibrería: Forgotten Books, London, Reino Unido
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Paperback. Condición: New. Print on Demand. A pioneering work in the field of artificial intelligence techniques, this book introduces a set of elementary concepts that allow formalization of the terms and concepts involved in the study of learning. The development of these concepts is grounded in the theories of information and computation, drawing equivalence between well-established notions like languages, programs, Turing machines, and others, to the notion of alphabet. This book offers readers the opportunity to familiarize themselves with the use of a new language for describing the concepts involved in learning, with the ultimate aim of constructing a semantics and, thus, a structural description of the data under observation. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781332149933_0
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Learning as the Evolution of Representation Technical Report 477, November 1898 Classic Reprint
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781332149933
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Learning as the Evolution of Representation Technical Report 477, November 1898 Classic Reprint
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781332149933
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