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Statistical Language and Speech Processing Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings - nuovo libro
2014, ISBN: 3319113968
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2014, ISBN: 9783319113968
Springer, 2014. Paperback. New. 284 pages. 9.25x6.00x0.75 inches., Springer, 2014, 6
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2014, ISBN: 9783319113968
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2014, ISBN: 9783319113968
[ED: Softcover], [PU: Springer International Publishing / Springer, Berlin], This book constitutes the refereed proceedings of the Second International Conference on Statistical Language … Altro …
Besacier, Laurent (Herausgeber); Dediu, Adrian-Horia (Herausgeber); Martín-Vide, Carlos (Herausgeber):
Statistical Language and Speech Processing Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings - nuovo libro2014, ISBN: 3319113968
Kartoniert / Broschiert Roboter - Robotik - Industrieroboter, Data Mining (EDV), Expertensystem, Wissensbasiertes System, Mustererkennung, Datenverarbeitung / Anwendungen / Betrieb, Verw… Altro …
2014
ISBN: 3319113968
[EAN: 9783319113968], Neubuch, [PU: Springer, Berlin|Springer International Publishing], ROBOTER - ROBOTIK INDUSTRIEROBOTER DATA MINING (EDV) EXPERTENSYSTEM WISSENSBASIERTES SYSTEM MUSTER… Altro …
2014, ISBN: 9783319113968
Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings, Buch, Softcover, [PU: Springer International Publishing], Springer International Publishing… Altro …
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Informazioni dettagliate del libro - Statistical Language and Speech Processing
EAN (ISBN-13): 9783319113968
ISBN (ISBN-10): 3319113968
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2014
Editore: Springer International Publishing
Libro nella banca dati dal 2014-11-21T19:33:45+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2022-08-22T09:47:05+02:00 (Zurich)
ISBN/EAN: 9783319113968
ISBN - Stili di scrittura alternativi:
3-319-11396-8, 978-3-319-11396-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : laurent, carl martin, horia
Titolo del libro: spee, international statistical, international proceedings, speech and language processing
Dati dell'editore
Autore: Laurent Besacier; Adrian-Horia Dediu; Carlos Martín-Vide
Titolo: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Statistical Language and Speech Processing - Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings
Editore: Springer; Springer International Publishing
285 Pagine
Anno di pubblicazione: 2014-09-12
Cham; CH
Stampato / Fatto in
Lingua: Inglese
51,36 € (DE)
52,80 € (AT)
57,00 CHF (CH)
POD
XI, 285 p. 68 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; NLP; artificial intelligence; machine learning; natural language processing; probability and statistics; sentiment analysis; similarity; speech recognition; statistical methods; text mining; text processing; Artificial Intelligence; Data Mining and Knowledge Discovery; Automated Pattern Recognition; Data Mining; Wissensbasierte Systeme, Expertensysteme; Mustererkennung; EA
Syntax and Data-to-Text Generation.- Spoken Language Processing: Time to Look Outside?.- Phonetics and Machine Learning: Hierarchical Modelling of Prosody in Statistical Speech Synthesis.- A Hybrid Approach to Compiling Bilingual Dictionaries of Medical Terms from Parallel Corpora.- Experiments with a PPM Compression-Based Method for English-Chinese Bilingual Sentence Alignment.- BiMEANT: Integrating Cross-Lingual and Monolingual Semantic Frame Similarities in the MEANT Semantic MT Evaluation Metric.- Robust Speaker Recognition Using MAP Estimation of Additive Noise in i-vectors Space.- Structured GMM Based on Unsupervised Clustering for Recognizing Adult and Child Speech.- Physiological and Cognitive Status Monitoring on the Base of Acoustic-Phonetic Speech Parameters.- Automatic Phonetic Transcription in Two Steps: Forced Alignment and Burst Detection.- Supervised Classification Using Balanced Training.- Exploring Multidimensional Continuous Feature Space to Extract Relevant Words.- Lazy and Eager Relational Learning Using Graph-Kernels.- Linear Co-occurrence Rate Networks (L-CRNs) for Sequence Labeling.- A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition.- Probabilistic Anomaly Detection Method for Authorship Verification.- Measuring Global Similarity Between Texts.- Identifying and Clustering Relevant Terms in Clinical Records Using Unsupervised Methods.- Predicting Medical Roles in Online Health Fora.- Informal Mathematical Discourse Parsing with Conditional Random Fields.- Corpus-Based Information Extraction and Opinion Mining for the Restaurant Recommendation System.Includes supplementary material: sn.pub/extras
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