Machine Learning, Neural and Statistical Classification

by D. Michie, D.J. Spiegelhalter, C.C. Taylor
Author(s):D. Michie, D.J. Spiegelhalter, C.C. Taylor
Language:
Publisher: Ellis Horwood
Published Date:
ISBN:
Keywords:

About the book Machine Learning, Neural and Statistical Classification

Machine Learning, Neural and Statistical Classification is a MECHANICAL ENGINEERING book which was published by Ellis Horwood . D. Michie, D.J. Spiegelhalter, C.C. Taylor are the authors of this book. .

The aim of the book, Machine Learning, Neural and Statistical Classification, is to review the 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. A wide variety of approaches has been considered in this task. Three main historical strands of research can be identified: statistical, machine learning and neural network. These have largely involved different professional and academic groups, and emphasised different issues. All groups have, however, had some objectives in common. They have all attempted to derive procedures that would be able: a) to equal, if not exceed, a human decision-maker's behaviour, but have the advantage of consistency and, to a variable extent, explicitness, b) to handle a wide variety of problems and, given enough data, to be extremely general, c) to be used in practical settings with proven success.


Free DOWNLOAD or READ

You can read or download the book Machine Learning, Neural and Statistical Classification from the following links.

Buy\Review\Rating

You can buy, review or give ratings for this book at the following links: