Coding Ockham's razor /
This book explores inductive inference using the minimum message length (MML) principle, a Bayesian method which is a realisation of Ockham's Razor based on information theory. Accompanied by a library of software, the book can assist an applications programmer, student or researcher in the fie...
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Main Authors: | |
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Published: |
Springer,
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Publisher Address: | Cham, Switzerland : |
Publication Dates: | [2018] |
Literature type: | Book |
Language: | English |
Subjects: | |
Summary: |
This book explores inductive inference using the minimum message length (MML) principle, a Bayesian method which is a realisation of Ockham's Razor based on information theory. Accompanied by a library of software, the book can assist an applications programmer, student or researcher in the fields of data analysis and machine learning to write computer programs based upon this principle. MML inference has been around for 50 years and yet only one highly technical book has been written about the subject. The majority of research in the field has been backed by specialised one-off programs but |
Carrier Form: | xiv, 175 pages : illustrations ; 24 cm |
Bibliography: | Includes bibliographical references (pages 167-171) and index. |
ISBN: |
9783319764320 3319764322 9783319764344 3319764349 9783030094881 303009488X |
Index Number: | QA276 |
CLC: | O236 |
Call Number: | O236/A438 |
Contents: | 1 Introduction -- 2 Discrete -- 3 Integers -- 4 Continuous -- 5 Function-Models -- 6 Multivariate -- 7 Mixture Models -- 8 Function-Models 2 -- 9 Vectors -- 10 Linear Regression -- 11 Graphs -- 12 Bits and Pieces -- 13 An Implementation -- 14 Glossary. |