Coding Ockham's Razor
Autor Lloyd Allisonen Limba Engleză Hardback – 18 mai 2018
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 this book includes a library of general MML–based software, in Java. The Java source code is available under the GNU GPL open-source license. The software library is documented using Javadoc which produces extensive cross referenced HTML manual pages. Every probability distribution and statistical model that is described in the book is implemented and documentedin the software library. The library may contain a component that directly solves a reader's inference problem, or contain components that can be put together to solve the problem, or provide a standard interface under which a new component can be written to solve the problem.
This book will be of interest to application developers in the fields of machine learning and statistics as well as academics, postdocs, programmers and data scientists. It could also be used by third year or fourth year undergraduate or postgraduate students.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 621.88 lei 6-8 săpt. | |
Springer International Publishing – 25 dec 2018 | 621.88 lei 6-8 săpt. | |
Hardback (1) | 633.55 lei 6-8 săpt. | |
Springer International Publishing – 18 mai 2018 | 633.55 lei 6-8 săpt. |
Preț: 633.55 lei
Preț vechi: 791.93 lei
-20% Nou
Puncte Express: 950
Preț estimativ în valută:
121.26€ • 126.04$ • 100.45£
121.26€ • 126.04$ • 100.45£
Carte tipărită la comandă
Livrare economică 04-18 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783319764320
ISBN-10: 3319764322
Pagini: 233
Ilustrații: XIV, 175 p. 46 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319764322
Pagini: 233
Ilustrații: XIV, 175 p. 46 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Recenzii
“The GNU GPL licensed library is well documented and can be easily used and extended to the user’s needs. A lot of instructive examples for problem solving with this software are presented in the book and even have been coded for the reader’s convenience.” (Rainer Horsch, zbMATH 1409.68001, 2019)
Caracteristici
Gathers together the minimum necessary MML theory in one place" Implemented models and estimators include those for discrete, continuous and multivariate data, mixture models (clustering), regressions, classification trees, models of vectors and directions, linear regression, models of graphs (networks) All models are taken from the maths through to computer code and to use An accompanying library of software includes standard probability distributions, statistical models and estimators The e-book contains internet links to the software, documentation, and interactive (javascript) examples