J–Machine

Results: 754



#Item
491Linguistics / Human–computer interaction / Automatic identification and data capture / Computational neuroscience / Phonetics / Acoustic model / Machine learning / Speaker diarisation / Neural network / Computational linguistics / Speech recognition / Science

An Initial Investigation of Long-Term Adaptation for Meeting Transcription X. Chen 1 , M.J.F. Gales 1 , K. Knill 1,2 , C. Breslin 1,2 , L. Chen 2 , K. K. Chin 2 and V. Wan 2 1 Engineering Department, University of Cambri

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2014-06-11 08:59:51
492Linear algebra / Vector space / Vectors / Normal distribution / Algebra / Mathematics / Group theory

Journal of Machine Learning Research[removed]–732 Submitted 7/05; Revised 12/05; Published 5/06 Some Theory for Generalized Boosting Algorithms Peter J. Bickel

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2007-07-25 07:21:45
493Data analysis / Statistical forecasting / Parametric statistics / Forecasting / Analysis of variance / Regression analysis / Volatility / Autoregressive conditional heteroskedasticity / Variance / Statistics / Time series analysis / Econometrics

Boosting multi-step autoregressive forecasts Souhaib Ben Taieb Machine Learning Group, Computer Science Department, Faculty of Sciences, Universit´e Libre de Bruxelles, Brussels, Belgium. Rob J Hyndman

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Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
494Imaging / Color histogram / Feature detection / Shot transition detection / Feature / Visual descriptors / Histogram / Object recognition / Support vector machine / Computer vision / Vision / Statistics

Universit¨at Karlsruhe (TH) at TRECVID 2007 H.K. Ekenel, M. Fischer, H. Gao, K. Kilgour, J.S. Marcos, R. Stiefelhagen interACT Research, Computer Science Department, Universit¨at Karlsruhe (TH) Am Fasanengarten 5, Karl

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2008-03-03 10:55:14
495Artificial intelligence / Speech recognition / Speech synthesis / Multilayer perceptron / Acoustic model / Support vector machine / Hidden Markov model / Computational linguistics / Science / Statistics

Data augmentation for low resource languages Anton Ragni, Kate M. Knill, Shakti P. Rath and Mark J. F. Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge CB2 1PZ, UK {ar527,kmk1001,spr

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2014-06-23 06:42:23
496Machine learning / Vision / Statistical classification / Support vector machine / Image processing / Visual descriptors / Cross-validation / Active learning / Feature / Statistics / Computer vision / Artificial intelligence

UC3M HIGH LEVEL FEATURE EXTRACTION AT TRECVID 2008 I. Gonz´ alez-D´ıaz, D. Garc´ıa-Garc´ıa, R. Solera-Ure˜ na, J. Madrid-S´ anchez, V. G´

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2009-03-05 14:02:00
497Data analysis / Statistical forecasting / Parametric statistics / Forecasting / Analysis of variance / Regression analysis / Volatility / Autoregressive conditional heteroskedasticity / Variance / Statistics / Time series analysis / Econometrics

Boosting multi-step autoregressive forecasts Souhaib Ben Taieb Machine Learning Group, Computer Science Department, Faculty of Sciences, Universit´e Libre de Bruxelles, Brussels, Belgium. Rob J Hyndman

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Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
498IBM / Computing / Support vector machine / Technology / Conferences / TRECVID / Statistics

IBM T. J. Watson Research Center IBM Research TRECVID 2005 Automatic Search System M. Campbell, S. Ebadollahi, A. Haubold, M. Naphade, A. Natsev, J. R. Smith, J. Tešić, T. Volkmer

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2005-12-12 15:24:00
499K-nearest neighbor algorithm / Feature selection / Supervised learning / Linear classifier / Statistical classification / Kepler / Least-angle regression / RR Lyrae variable / Pattern recognition / Statistics / Machine learning / Artificial intelligence

2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake

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Source URL: kiss.caltech.edu

Language: English - Date: 2014-04-29 12:54:28
500Statistical theory / Statistical inference / Data analysis / Cross-validation / Bootstrapping / Supervised learning / M-estimator / Gaussian function / Loss function / Statistics / Estimation theory / Machine learning

A Bias Correction for the Minimum Error Rate in Cross-validation Ryan J. Tibshirani∗ Robert Tibshirani†

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Source URL: www.stat.cmu.edu

Language: English - Date: 2013-01-11 01:57:27
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