Readings in Machine Learning (The Morgan Kaufmann Series in Machine Learning)

Shavlik, Jude [Editor]; Dietterich, Thomas [Editor];

ISBN 10: 1558601430 / ISBN 13: 9781558601437

Published by Morgan Kaufmann, 1990

About this Item

Name inscription inside cover and outside on top edge. No other writing. Some highlights, very few. Cover shows normal wear.

Seller Inventory # 20-82026-0ff-65

Bibliographic Details

• Title: Readings in Machine Learning (The Morgan Kaufmann Series in Machine Learning)
• Publisher: Morgan Kaufmann
• Publication Date: 1990
• Language: English
• ISBN 10: 1558601430
• ISBN 13: 9781558601437
• Binding: paperback
• Condition: Fair
• Weight: 69 ounces

About this title

Synopsis

The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business.

Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.