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Linear prediction
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31	Getting the Most Out of Macroeconomic Information for Predicting Stock Returns and Volatility ∗ Cem C ¸ akmaklı† Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2010-11-22 03:32:16 Statistics Regression analysis Econometrics Linear regression Volatility Stepwise regression Economic model Forecasting Prediction Economic forecasting Predictive analytics Unit-weighted regression
32	Rate Distortion Bounds for Speech Add to Reading List Source URL: vivonets.ece.ucsb.edu Language: English - Date: 2011-07-20 15:49:22 Audio codecs Computing G.722 G.718 Adaptive Multi-Rate Wideband Algebraic code-excited linear prediction G.719 G.729 Electronics G.711 G.726 Speech coding
33	66 JOURNAL OF MULTIMEDIA, VOL. 2, NO. 3, JUNE 2007 Packet Loss Concealment for G.722 using Side Information with Application to Voice over Add to Reading List Source URL: vivonets.ece.ucsb.edu Language: English - Date: 2007-06-08 19:56:23 Audio codecs Data compression Digital media Adaptive differential pulse-code modulation PESQ Code-excited linear prediction Network packet Speech coding Mean opinion score G.711
34	Utility-based Performance Measures for Regression Rita Ribeiro LIAAD - INESC PORTO LA, R. Ceuta, 118, 6., Porto, Portugal FCUP - DCC, University of Porto, R. Campo Alegre, , 4169- Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:42 Econometrics Regression analysis Loss function Prediction Economic model Forecasting Linear regression
35	Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson Add to Reading List Source URL: www.large-scale-sports-analytics.org Language: English - Date: 2016-03-23 17:27:31 Statistical classification Machine learning Regression analysis Econometrics Support vector machine Multinomial logistic regression Supervised learning Margin classifier Classifier Prediction Linear discriminant analysis Linear regression
36	A Fast TCAD-based Methodology for Variation Analysis of Emerging Nano-Devices Hassan Ghasemzadeh Mohammadi∗ , Pierre-Emmanuel Gaillardon∗ , Majid Yazdani† , Giovanni De Micheli∗ Integrated Systems Laboratory∗ , Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:44 Econometrics Electronic design automation Computational neuroscience Computational statistics Operations research Simulation Computer simulation Artificial neural network Regression analysis Linear regression Prediction Synopsys
37	On the Performance Prediction of BLAS-based Tensor Contractions Elmar Peise Diego Fabregat-Traver Add to Reading List Source URL: www.dcs.warwick.ac.uk Language: English - Date: 2014-11-22 16:55:21 Numerical linear algebra Numerical software Tensors Basic Linear Algebra Subprograms Tensor contraction
38	Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS Add to Reading List Source URL: prism.nacse.org Language: English - Date: 2015-04-13 19:30:57 Regression analysis Linear regression Regression dilution Logistic regression Statistics Prediction Dependent and independent variables Generalized linear model Errors and residuals Observational error Multivariate adaptive regression splines
39	On the Performance Prediction of BLAS-based Tensor Contractions Elmar Peise, Diego Fabregat-Traver, and Paolo Bientinesi AICES, RWTH Aachen {peise,fabregat,pauldj}@aices.rwth-aachen.de Add to Reading List Source URL: www.dcs.warwick.ac.uk Language: English - Date: 2014-11-13 12:51:32 Numerical linear algebra Tensors Numerical software Basic Linear Algebra Subprograms GPGPU Cache Tensor contraction Tensor Matrix CPU cache Kernel Compute kernel
40	Bus Travel Time Prediction under High Variability Conditions Kranthi Kumar Reddy Graduate Student Department of Civil Engineering Indian Institute of Technology Madras Add to Reading List Source URL: www.currentscience.ac.in Language: English - Date: 2016-07-11 02:36:02 Statistical classification Regression analysis Support vector machine Cross-validation Prediction Variance On-time performance Linear regression Autoregressive model Mean absolute percentage error Bus stop Machine learning