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Pure Inductive Logic, Paris


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Цена: 21226.00р.
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Автор: Paris
Название:  Pure Inductive Logic
ISBN: 9781107042308
Издательство: Cambridge Academ
Классификация:

ISBN-10: 1107042305
Обложка/Формат: Hardback
Страницы: 354
Вес: 0.66 кг.
Дата издания: 02.04.2015
Серия: Perspectives in logic
Язык: English
Иллюстрации: 1 line drawings, unspecified
Размер: 239 x 160 x 29
Читательская аудитория: Professional and scholarly
Ключевые слова: Philosophy: logic,Mathematical logic,Artificial intelligence, MATHEMATICS / Logic
Основная тема: Mathematics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: This book establishes pure inductive logic as a contemporary branch of mathematical logic. Collecting together research from a wide range of sources within one unified context, it provides both a comprehensive account of the subject up to cutting-edge modern research, and an accessible reference for the philosopher or computer scientist.


Statistical and Inductive Inference by Minimum Message Length

Автор: C.S. Wallace
Название: Statistical and Inductive Inference by Minimum Message Length
ISBN: 1441920153 ISBN-13(EAN): 9781441920157
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Mythanksareduetothemanypeoplewhohaveassistedintheworkreported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults are all mine. MyworkleadingtothisbookbeganwhenDavidBoultonandIattempted to develop a method for intrinsic classi?cation. Given data on a sample from some population, we aimed to discover whether the population should be considered to be a mixture of di?erent types, classes or species of thing, and, if so, how many classes were present, what each class looked like, and which things in the sample belonged to which class. I saw the problem as one of Bayesian inference, but with prior probability densities replaced by discrete probabilities re?ecting the precision to which the data would allow parameters to be estimated. Boulton, however, proposed that a classi?cation of the sample was a way of brie?y encoding the data: once each class was described and each thing assigned to a class, the data for a thing would be partially implied by the characteristics of its class, and hence require little further description. After some weeks arguing our cases, we decided on the maths for each approach, and soon discovered they gave essentially the same results. Without Boulton s insight, we may never have made the connection between inference and brief encoding, which is the heart of this work."


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