Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings
This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019.  The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.
1133108014
Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings
This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019.  The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.
54.99 In Stock
Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings

Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings

Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings

Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings

eBook1st ed. 2019 (1st ed. 2019)

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Overview

This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019.  The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

Product Details

ISBN-13: 9783030314897
Publisher: Springer-Verlag New York, LLC
Publication date: 10/10/2019
Series: Lecture Notes in Computer Science , #11834
Sold by: Barnes & Noble
Format: eBook
File size: 15 MB
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