Learning from Data: Artificial Intelligence and Statistics V

Paperback | May 2, 1996

EditorDoug Fisher, Hans-J. Lenz

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This volume contains a revised collection of papers originally presented at the Fifth International Workshop on Artificial Intelligence and Statistics in 1995. The topics represented in this collection of 42 papers are diverse and include natural language applications, causality and graphical models, classification, learning, knowledge discovery, and exploratory data analysis. The papers illustrate the rich possibilities for interdisciplinary study at the interface of artificial intelligence and statistics.

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This volume contains a revised collection of papers originally presented at the Fifth International Workshop on Artificial Intelligence and Statistics in 1995. The topics represented in this collection of 42 papers are diverse and include natural language applications, causality and graphical models, classification, learning, knowledge...

Format:PaperbackDimensions:450 pages, 9.25 × 6.1 × 0.27 inPublished:May 2, 1996Publisher:Springer New York

The following ISBNs are associated with this title:

ISBN - 10:0387947361

ISBN - 13:9780387947365

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Table of Contents

Contents: Causality.- Inference and Decision Making.- Search Control in Model Hunting.- Classication.- General Learning Issues.- EDA:Tools and Methods.- Decision and Regression Tree Induction.- Natural Language Processing.