Spoken Dialogue System (SDS) is a natural language interface designed to make use of spoken language technology to accomplish a goal between the user and a computer. It also requires the development of dialogue strategies which is responsible for controlling the flow of interaction among the other components to form a complete system in an efficient and natural way according to the user behaviour and preferences. One approach to address the problem of dialogue strategy design is to use Reinforcement Learning (RL) techniques to find the solution to the problem have been a leading research area for the last few years. It is the field of research that this book seeks to propose and evaluate a scalable dialogue optimization framework.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gopalakrishnan KumaravelanHe is serving as Assistant Professor of Computer Science, Pondicherry University, Karaikal, India. He has pursued his PhD in Computer Science and M.Tech in Computer Science and Engineering from Bharathidasan. Codice articolo 159144304
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Spoken Dialogue System (SDS) is a natural language interface designed to make use of spoken language technology to accomplish a goal between the user and a computer. It also requires the development of dialogue strategies which is responsible for controlling the flow of interaction among the other components to form a complete system in an efficient and natural way according to the user behaviour and preferences. One approach to address the problem of dialogue strategy design is to use Reinforcement Learning (RL) techniques to find the solution to the problem have been a leading research area for the last few years. It is the field of research that this book seeks to propose and evaluate a scalable dialogue optimization framework. 132 pp. Englisch. Codice articolo 9783659741425
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Spoken Dialogue System (SDS) is a natural language interface designed to make use of spoken language technology to accomplish a goal between the user and a computer. It also requires the development of dialogue strategies which is responsible for controlling the flow of interaction among the other components to form a complete system in an efficient and natural way according to the user behaviour and preferences. One approach to address the problem of dialogue strategy design is to use Reinforcement Learning (RL) techniques to find the solution to the problem have been a leading research area for the last few years. It is the field of research that this book seeks to propose and evaluate a scalable dialogue optimization framework. Codice articolo 9783659741425
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -Spoken Dialogue System (SDS) is a natural language interface designed to make use of spoken language technology to accomplish a goal between the user and a computer. It also requires the development of dialogue strategies which is responsible for controlling the flow of interaction among the other components to form a complete system in an efficient and natural way according to the user behaviour and preferences. One approach to address the problem of dialogue strategy design is to use Reinforcement Learning (RL) techniques to find the solution to the problem have been a leading research area for the last few years. It is the field of research that this book seeks to propose and evaluate a scalable dialogue optimization framework.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Codice articolo 9783659741425
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. Codice articolo 3659741426
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