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Le projet LiSe : LInguistique, normes, traitement automatique des langues et SEcurité : du « data et sense mining » aux langues contrôlées
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In: Actes de la Conférence JEP/TALN 2008 ; Conférence JEP/TALN 2008 ; https://hal.archives-ouvertes.fr/hal-00491546 ; Conférence JEP/TALN 2008, Jun 2008, Avignon, France. 9 p (2008)
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A Text Mining Technique Using Association Rules Extraction ...
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A Text Mining Technique Using Association Rules Extraction ...
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85 |
Enterprise Resource Planning for Global Economies: Managerial Issues and Challenges: Managerial Issues and Challenges
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In: Faculty Books and Monographs (2008)
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Un modelo para estimar las acciones a aplicar a los alumnos de E.S.O.
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In: Journal of Educational Research; Vol. 26 No. 2 (2008); 385-407 ; Revista de Investigación Educativa; Vol. 26 Núm. 2 (2008); 385-407 ; 1989-9106 ; 0212-4068 (2008)
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[Review] The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data
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In: Computational Linguistics, 2008. Cambridge, MIT Press, pp. 125-128 (2008)
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FINDING TEMPORAL ASSOCIATION RULES BETWEEN FREQUENT PATTERNS IN MULTIVARIATE TIME SERIES
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In: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1141325950 (2006)
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Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis
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Salvi, Giampiero. - : KTH, Tal, musik och hörsel, TMH, 2006. : Stockholm : KTH, 2006
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An Adjustable Description Quality Measure for Pattern Discovery in Large Databases Using the AQ Methodology
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On the representation, measurement, and discovery of fuzzy associations
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In: ISSN: 1063-6706 ; IEEE Transactions on Fuzzy Systems ; https://hal.archives-ouvertes.fr/hal-03367396 ; IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2005, 13 (2), pp.250-262. ⟨10.1109/TFUZZ.2004.840130⟩ ; https://ieeexplore.ieee.org/document/1411827 (2005)
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Identification of Australians from culturally and linguistically diverse backgrounds in national health data collections
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Group and Topic Discovery from Relations and Text
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In: Andrew McCallum (2005)
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EURASIP Journal on Applied Signal Processing 2005:9, 1410–1424 c ○ 2005 Hindawi Publishing Corporation Objective Speech Quality Measurement Using Statistical Data Mining
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In: http://asp.eurasipjournals.com/content/pdf/1687-6180-2005-721258.pdf (2004)
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Abstract:
Measuring speech quality by machines overcomes two major drawbacks of subjective listening tests, their low speed and high cost. Real-time, accurate, and economical objective measurement of speech quality opens up a wide range of applications that cannot be supported with subjective listening tests. In this paper, we propose a statistical data mining approach to design objective speech quality measurement algorithms. A large pool of perceptual distortion features is extracted from the speech signal. We examine using classification and regression trees (CART) and multivariate adaptive regression splines (MARS), separately and jointly, to select the most salient features from the pool, and to construct good estimators of subjective listening quality based on the selected features. We show designs that use perceptually significant features and outperform the state-of-the-art objective measurement algorithm. The designed algorithms are computationally simple, making them suitable for real-time implementation. The proposed design method is scalable with the amount of learning data; thus, performance can be improved with more offline or online training.
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Keyword:
classification trees; data mining; mean opinion scores; regression; speech perception; speech quality
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.400.7931 http://asp.eurasipjournals.com/content/pdf/1687-6180-2005-721258.pdf
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Learning Reversible Categorial Grammars from Structures
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In: Categorial Grammars ; https://hal.inria.fr/inria-00101086 ; Categorial Grammars, 2004, Montpellier, France, 10 p (2004)
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Learning Dependency Languages from a Teacher
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In: 9th conference on Formal Grammar ; https://hal.inria.fr/inria-00101085 ; 9th conference on Formal Grammar, 2004, Nancy, France, 7 p (2004)
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Linguistic description of patterns from mined images
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In: http://www-lih.univ-lehavre.fr/Intranet/proceedings/ICEIS2004/ICEIS 2004/Area 2 - Artificial Intelligence and Decision Support Systems/Oral Presentations/Short Papers/C2_050_Nair.pdf (2004)
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