Induction And Statistics
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Probability Induction And Statistics
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Author : Bruno De Finetti
language : en
Publisher: John Wiley & Sons
Release Date : 1972
Probability Induction And Statistics written by Bruno De Finetti and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Mathematics categories.
Induction And Statistics
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Author : Corrado Gini
language : en
Publisher:
Release Date : 2001
Induction And Statistics written by Corrado Gini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.
The Emergence Of Probability
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Author : Ian Hacking
language : en
Publisher: Cambridge University Press
Release Date : 1984-06-21
The Emergence Of Probability written by Ian Hacking and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-06-21 with Mathematics categories.
Includes an introduction, contextualizing his book in light of developing philosophical trends.
Statistical Analysis For Induction And Decision
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Author : Chaiho Kim
language : en
Publisher:
Release Date : 1973
Statistical Analysis For Induction And Decision written by Chaiho Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Mathematics categories.
Reliable Reasoning
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Author : Gilbert Harman
language : en
Publisher: MIT Press
Release Date : 2012-01-13
Reliable Reasoning written by Gilbert Harman and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-13 with Psychology categories.
The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.
Statistical And Inductive Inference By Minimum Message Length
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Author : C.S. Wallace
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-26
Statistical And Inductive Inference By Minimum Message Length written by C.S. Wallace and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-26 with Computers categories.
The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. MML, which provides a formal specification for the implementation of Occam's Razor, asserts that the ‘best’ explanation of observed data is the shortest. Further, an explanation is acceptable (i.e. the induction is justified) only if the explanation is shorter than the original data. This book gives a sound introduction to the Minimum Message Length Principle and its applications, provides the theoretical arguments for the adoption of the principle, and shows the development of certain approximations that assist its practical application. MML appears also to provide both a normative and a descriptive basis for inductive reasoning generally, and scientific induction in particular. The book describes this basis and aims to show its relevance to the Philosophy of Science. Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning and Estimation and Model-selection, Econometrics and Data Mining. C.S. Wallace was appointed Foundation Chair of Computer Science at Monash University in 1968, at the age of 35, where he worked until his death in 2004. He received an ACM Fellowship in 1995, and was appointed Professor Emeritus in 1996. Professor Wallace made numerous significant contributions to diverse areas of Computer Science, such as Computer Architecture, Simulation and Machine Learning. His final research focused primarily on the Minimum Message Length Principle.
Symmetry And Its Discontents
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Author : S. L. Zabell
language : en
Publisher: Cambridge University Press
Release Date : 2005-06-06
Symmetry And Its Discontents written by S. L. Zabell and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-06 with Language Arts & Disciplines categories.
This volume brings together a collection of essays on the history and philosophy of probability and statistics by one of the eminent scholars in these subjects. Written over the last fifteen years, they fall into three broad categories. The first deals with the use of symmetry arguments in inductive probability, in particular, their use in deriving rules of succession. The second group deals with three outstanding individuals who made lasting contributions to probability and statistics in very different ways: Frank Ramsey, R.A. Fisher, Alan Turing, and Abraham de Moivre. The last group of essays deals with the problem of "predicting the unpredictable."
Sequence And Series Mathematical Induction And Binomial Theorem Descriptive Statistics
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Author : Research & Education Association
language : en
Publisher:
Release Date :
Sequence And Series Mathematical Induction And Binomial Theorem Descriptive Statistics written by Research & Education Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Information Statistics And Induction In Science
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Author : David L. Dowe
language : en
Publisher: World Scientific
Release Date : 1996
Information Statistics And Induction In Science written by David L. Dowe and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Artificial intelligence categories.
An Introduction To Probability And Inductive Logic
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Author : Ian Hacking
language : en
Publisher: Cambridge University Press
Release Date : 2001-07-02
An Introduction To Probability And Inductive Logic written by Ian Hacking and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-02 with Mathematics categories.
An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.