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Building Dialogue POMDPs from Expert Dialogues An end-to-end approach /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chinaei, Hamidreza (Autor), Chaib-draa, Brahim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Temas:
Acceso en línea:Texto Completo