Learning and Decision-Making from Rank Data by Lirong Xia

Learning and Decision-Making from Rank Data by Lirong Xia

Preface.- Acknowledgments.- Introduction.- Statistical Models for Rank Data.- Parameter Estimation Algorithms.- The Rank-Breaking Framework.- Mixture Models for Rank Data.- Bayesian Preference Elicitation.- Socially Desirable Group Decision-Making from Rank Data.- Future Directions.- Bibliography.- Author's Biography .

Dr. Xia is an associate professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). Prior to joining RPI in 2013, he was a CRCS fellow and NSF CI Fellow at the Center for Research on Computation and Society at Harvard University. He received his Ph.D. in ComputerScience and M.A. in Economics from Duke University, and his B.E. in Computer Science and Technology from Tsinghua University. His research focuses on the intersection of com-puter science and microeconomics. Dr. Xia is the recipient of an NSF CAREER award, a Simons-Berkeley Research Fellowship, the 2018 Rensselaer James M. Tien ’66 Early Career Award, and was named as one of ""AI’s 10 to watch"" by IEEE Intelligent Systems in 2015.

SKU	Unavailable
ISBN 13	9783031004544
ISBN 10	303100454X
Title	Learning and Decision-Making from Rank Data
Author	Lirong Xia
Series	Synthesis Lectures On Artificial Intelligence And Machine Learning
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer International Publishing AG
Year published	2019-02-06
Number of pages	143
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.