Theory practice recognition (134 résultats)

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Etat : New. In English.

Softcover. Etat : Very Good. Very Good Condition, Text appears to be clean. Cover has light wear. Binding is tight and pages are nice and crisp. Edges and corners have light wear. Looks Great! 192 pages. Quantity Available: 1. Shipped Weight: Under 1 kilo. Category: Language & Linguistics; Education. ISBN: 0439332087. ISBN/EAN: 9780439332088. Pictures of this item not already displayed here available upon request. Inventory No: 1561025695. …

Etat : Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780470976371.…

Soft Cover. Etat : Very Good. Ex-library with the usual features. Library label on front cover. The interior is clean and tight. Binding is good. Cover shows light wear. Ex-Library.

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Etat : New. 1st edition NO-PA16APR2015-KAP.

Paperback. Etat : New.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : new.

Paperback. Etat : New. This volume presents new essays on the theory and practice of recognition. In order to retain its overall plausibility as a critical social theory, contemporary recognition theory needs to be able to successfully combine theory with real-life perspectives, in both contemporary and historical contexts.Contemporary recognition theory has developed into an established and active multidisciplinary research programme. The chapters in this volume have two main purposes. First, they engage in theoretical development of the contemporary theories of recognition. They explore the conceptual histories and the environments of recognition, as well as the connection between recognition and authenticity, emancipation, and social ontology. Second, they connect the theoretical insights of contemporary recognition with analyses of contemporary and historical social practices. These contributions explore themes such as populism and polarization, models of harmful invisibilization and social ignorance, the problem of evil and suffering, and social justice phenomena such as the #MeToo movement.The Theory and Practice of Recognition will be of interest to scholars and advanced students working in social and political philosophy, social ontology, political theory, and sociology.…

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paperback. Etat : New.

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Etat : New. 2024. 1st Edition. paperback. . . . . .

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, and minimum phone/word error. The unification is presented, with rigorous mathematical analysis, in a common rational-function form. This common form enables the use of the growth transformation (or extended Baum-Welch) optimization framework in discriminative learning of model parameters. In addition to all the necessary introduction of the background and tutorial material on the subject, we also included technical details on the derivation of the parameter optimization formulas for exponential-family distributions, discrete hidden Markov models (HMMs), and continuous-density HMMs in discriminative learning. Selected experimental results obtained by the authors in firsthand are presented to show that discriminative learning can lead to superior speech recognition performance over conventional parameter learning. Details on major algorithmic implementation issues with practical significance are provided to enable the practitioners to directly reproduce the theory in the earlier part of the book into engineering practice. Table of Contents: Introduction and Background / Statistical Speech Recognition: A Tutorial / Discriminative Learning: A Unified Objective Function / Discriminative Learning Algorithm for Exponential-Family Distributions / Discriminative Learning Algorithm for Hidden Markov Model / Practical Implementation of Discriminative Learning / Selected Experimental Results / Epilogue / Major Symbols Used in the Book and Their Descriptions / Mathematical Notation / Bibliography.…

Etat : New. In English.

Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.

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Etat : New.

Etat : As New. Unread book in perfect condition.