Machine Learning, Neural and Statistical Classification
The aim of this book is to provide a review of different approaches to classification, compare their performance on a wide range of challenging data-sets, and draw conclusions on their applicability to realistic industrial problems.
Tag(s): Machine Learning Neural Networks
Publication date: 17 Feb 1994
ISBN-10: n/a
ISBN-13: n/a
Paperback: 298 pages
Views: 26,590
Machine Learning, Neural and Statistical Classification
C.C. Taylor wrote:The above book (originally published in 1994 by Ellis Horwood) is now out of print. The copyright now resides with the editors who have decided to make the material freely available on the web.
About The Author(s)
Donald Michie was born on 11 November 1923. He obtained the MA, DPhil, and DSc degrees from Oxford University for studies in biological sciences. For contributions to artificial intelligence he was elected a founding Fellow of the American Association of Artificial Intelligence. His interest in programming human intelligence into machines originated during his membership of the British code-breaking group at Bletchley Park during World War 2. Professor Donald Michie died in a car accident on 7 July 2007.
Donald Michie was born on 11 November 1923. He obtained the MA, DPhil, and DSc degrees from Oxford University for studies in biological sciences. For contributions to artificial intelligence he was elected a founding Fellow of the American Association of Artificial Intelligence. His interest in programming human intelligence into machines originated during his membership of the British code-breaking group at Bletchley Park during World War 2. Professor Donald Michie died in a car accident on 7 July 2007.
Sir David John Spiegelhalter, OBE FRS, is Winton Professor of the Public Understanding of Risk in the Statistical Laboratory at the University of Cambridge and a Fellow of Churchill College, Cambridge. Spiegelhalter is an ISI highly cited researcher. His research interests are in statistics, including Bayesian approach to clinical trials, expert systems and complex modelling and epidemiology, graphical models of conditional independence, statistical software, general issues in clinical trials, and public understanding of risk.
Sir David John Spiegelhalter, OBE FRS, is Winton Professor of the Public Understanding of Risk in the Statistical Laboratory at the University of Cambridge and a Fellow of Churchill College, Cambridge. Spiegelhalter is an ISI highly cited researcher. His research interests are in statistics, including Bayesian approach to clinical trials, expert systems and complex modelling and epidemiology, graphical models of conditional independence, statistical software, general issues in clinical trials, and public understanding of risk.
Charles C. Taylor is Professor of Statistics in the Department of Statistics at the University of Leeds. His research interests are statistical learning and data mining, spatial statistics, and image analysis.
Charles C. Taylor is Professor of Statistics in the Department of Statistics at the University of Leeds. His research interests are statistical learning and data mining, spatial statistics, and image analysis.