Hamidreza Chinaei, Brahim Chaib-draa

Building Dialogue POMDPs from Expert Dialogues

An end-to-end approach

• Broschiertes Buch

Produktbeschreibung

This
book focuses on how to apply network coding at different layers in wireless
networks - including physical layer, media access control (MAC) layer, network
layer, transport layer. It investigates
a physical layer wireless network coding scheme where
the relay nodes applies symbol-by-symbol soft decisions on the received signals
from the two end nodes to come up with the network coded information to be
forwarded.
The author explores how to deploy network coding in MAC to improve network
performance and examine joint network coding with opportunistic routing to
improve the successful rate of routing. In regards to TCP and network coding,
the author considers transport layer protocol working with network coding to
overcome the lossy transmission , particularly with how to transmite
linear combination of original packets in the congestion window and
simultaneously generating redundant combinations to mask random losses from TCP. Multicast
is a hot application area of network coding at application layer in both wired
and wireless networks. The author introduces several multicast schemes at
application layer and discusses the advantages of them. The book pertains to
researchers and postgraduate students, especially whose interests are in deployment
of network coding in wireless networks.

Produktdetails

• SpringerBriefs in Speech Technology
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-26198-0
• 1st ed. 2016
• Seitenzahl: 128
• Erscheinungstermin: 16. Februar 2016
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 207g
• ISBN-13: 9783319261980
• ISBN-10: 3319261983
• Artikelnr.: 43828457

Autorenporträt

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.

Inhaltsangabe

1 Introduction.- 2 A few words on topic modeling.- 3 Sequential decision making in spoken dialog management.- 4 Learning the dialog POMDP model components.- 5 Learning the reward function.- 6 Application on healthcare dialog management.- 7 Conclusions and future work.