Building Dialogue POMDPs from Expert Dialogues : An end-to-end approach
Language: English
Published by Springer, 2016
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Druck auf Anfrage Neuware - Printed after ordering - Thisbook focuses on how to apply network coding at different layers in wirelessnetworks - including physical layer, media access control (MAC) layer, networklayer, transport layer. It investigatesa physical layer wireless network coding scheme wherethe relay nodes applies symbol-by-symbol soft decisions on the received signalsfrom the two end nodes to come up with the network coded information to beforwarded.The author explores how to deploy network coding in MAC to improve networkperformance and examine joint network coding with opportunistic routing toimprove the successful rate of routing. In regards to TCP and network coding,the author considers transport layer protocol working with network coding toovercome the lossy transmission , particularly with how to transmitelinear combination of original packets in the congestion window andsimultaneously generating redundant combinations to mask random losses from TCP. Multicastis a hot application area of network coding at application layer in both wiredand wireless networks. The author introduces several multicast schemes atapplication layer and discusses the advantages of them. The book pertains toresearchers and postgraduate students, especially whose interests are in deploymentof network coding in wireless networks.…
Seller Inventory # 9783319261980
- Title
- Building Dialogue POMDPs from Expert Dialogues : An end-to-end approach
- Author
- Brahim Chaib-Draa
- Publisher
- Springer
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319261983
- ISBN 13
- 9783319261980
- Item weight
- 207 grams
- Dimensions
- 235x155x8 mm
- Series
- Book 25 of 39: SpringerBriefs in Speech Technology
This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues. These altogether form a significant set of contributions that can potentially inspire substantial further work. This concise manuscript is written in a simple language, full of illustrative examples, figures, and tables.
"Synopsis" may belong to another edition of this title.
About the Author
Hamidreza Chinaei is a postdoctoral fellow at the Computer Science Department in University of Toronto under the supervision of Dr. Frank Rudzicz through an NSERC Engage Fund with IBM Canada. Dr. Chinaei has received his PhD in 2013 in Computer Science from Laval University on the application of machine learning for speech and natural language processing tasks, and MMath in Computer Science from the University of Waterloo on semantic query optimization. He has received the Industrial Track Student Scholarship and Award from the 2012 Canadian AI Conference and the Best Student Paper Award from the International Conference on Agents and Artificial Intelligence in 2009.
Brahim Chaib-draa received a Diploma in Computer Engineering from the École Supérieure d’Électricité (SUPELEC) de Paris, Paris, France, in 1978 and a Ph.D. degree in Computer Science from the Université du Hainaut-Cambrésis, Valenciennes, France, in 1990. In 1990, he joined the Department of Computer Science and Software Engineering at Laval University, Quebec, QC, Canada, where he is a Professor and Group Leader of the Decision for Agents and Multi-Agent Systems (DAMAS) Group. His research interests include agent and multiagent computing, machine learning and complex decision making. He is the author of several technical publications. Dr. Chaib-draa is a member of ACM and AAAI and senior member of the IEEE Computer Society.
"About the title" may belong to another edition of this title.
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