Learning from data: artificial intelligence and statistics V

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 volume are diverse, and include natural language application causality and graphical models, classification,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Fisher, Doug (HerausgeberIn)
Format: Buch
Sprache:English
Veröffentlicht: New York [u.a.] Springer 1996
Schriftenreihe:Lecture notes in statistics 112
Schlagworte:
Zusammenfassung: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 volume are diverse, and include natural language application causality and graphical models, classification, learning, knowledge discovery, and exploratory data analysis. The chapters illustrate the rich possibilities for interdisciplinary study at the interface of artificial intelligence and statistics. The chapters vary in the background that they assume, but moderate familiarity with techniques of artificial intelligence and statistics is desirable in most cases.
Beschreibung:XII, 450 S. graph. Darst.
ISBN:0387947361

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