×


 x 

Shopping cart
C.S. (Monash University) Wallace - Statistical and Inductive Inference by Minimum Message Length - 9780387237954 - V9780387237954
Stock image for illustration purposes only - book cover, edition or condition may vary.

Statistical and Inductive Inference by Minimum Message Length

€ 194.10
FREE Delivery in Ireland
Description for Statistical and Inductive Inference by Minimum Message Length hardcover. Offers an 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. This book is useful to graduate students and researchers in Machine Learning and Data Mining. Series: Information Science and Statistics. Num Pages: 432 pages, 22 black & white illustrations, 18 black & white tables, biography. BIC Classification: GPF; PBT; UYQM. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 25. Weight in Grams: 1770.
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 ... Read more

Product Details

Format
Hardback
Publication date
2005
Publisher
Springer/Sci-Tech/Trade United States
Number of pages
432
Condition
New
Series
Information Science and Statistics
Number of Pages
432
Place of Publication
New York, NY, United States
ISBN
9780387237954
SKU
V9780387237954
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About C.S. (Monash University) Wallace
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 ... Read more

Reviews for Statistical and Inductive Inference by Minimum Message Length
From the reviews: "The subject matter is highly technical, and the book is correspondingly detailed. The book is intended for graduate-level courses, and should be effective in that role if the instructor is sufficiently expert in the area. For researchers at the postdoctoral level, the book will provide a wealth of information about the field.… [T]he book is ... Read more

Goodreads reviews for Statistical and Inductive Inference by Minimum Message Length


Subscribe to our newsletter

News on special offers, signed editions & more!