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Non-parametric statistics
Results: 797

#	Item
511	Accepted to the 11th IEEE International Conference on Computer Vision (ICCV[removed]Winner of the David Marr Prize for Best Paper Add to Reading List Source URL: midag.cs.unc.edu Language: English - Date: 2007-10-19 12:51:24 Econometrics Estimation theory Statistical theory Kernel regression Nonparametric regression Kernel density estimation Errors and residuals in statistics Diffeomorphism Kernel smoother Statistics Non-parametric statistics Regression analysis
512	Local Likelihood Modeling of Temporal Text Streams Guy Lebanon Yang Zhao Department of Statistics, Purdue University – West Lafayette, IN 47907 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 14:30:50 M-estimators Regression analysis Econometrics Maximum likelihood Nonparametric regression Likelihood principle Likelihood function Kernel smoother Expectation–maximization algorithm Statistics Estimation theory Non-parametric statistics
513	Graphics Commands JACKNIFE ... PLOT JACKNIFE ... PLOT PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:29:32 Statistical inference Computational statistics Non-parametric statistics Bootstrapping Statistic Sampling distribution Variance Plot Histogram Statistics Data analysis Statistical theory
514	An Empirical Investigation of Statistical Significance in NLP Taylor Berg-Kirkpatrick David Burkett Dan Klein Computer Science Division University of California at Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-19 19:53:16 Statistical tests Hypothesis testing Non-parametric statistics Resampling Automatic summarization Parsing Statistical hypothesis testing Bootstrapping F-test Statistics Statistical inference Computational linguistics
515	A COMPARISON OF HOME RANGE MAPPING TECHNIQUES FOR GOLDEN EAGLES IN WASHINGTON ANDREW A. DUFF AND JAMES W. WATSON, Washington Department of Fish and Wildlife, 600 Capital Way N., Olympia WA 98501; [removed] I Add to Reading List Source URL: wdfw.wa.gov Language: English - Date: 2013-03-14 18:26:31 Non-parametric statistics Kernel density estimation Application programming interfaces KDE Linux kernel Home range Debian Kernel X Window System Software Free software System software
516	WESVARPC: SOFTWARE FOR COMPUTING VARIANCE ESTIMATES FROM COMPLEX DESIGNS David Morganstein and J. Michael Brick Westat, Inc., 1650 Research Boulevard, Rockville, Maryland[removed]ABSTRACT This paper discusses a Windows-bas Add to Reading List Source URL: www.census.gov Language: English - Date: 1997-01-07 15:05:46 Statistical methods Statistical inference Non-parametric statistics SUDAAN Resampling SPSS Sampling Linear regression SAS Statistics Econometrics Regression analysis
517	Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains Kristian Kersting [removed] Dept. of Knowledge Discovery, Fraunhofer IAIS, Schloss Birlinghoven, 537 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-02 08:01:38 Ensemble learning Operations research Reinforcement learning Gradient boosting Boosting Regression analysis Mathematical optimization Function Supervised learning Machine learning Mathematics Statistics
518	TIME-ADAPTIVE KERNEL DENSITY FORECAST: A NEW METHOD FOR WIND POWER UNCERTAINTY MODELING R.J. Bessa1, J. Sumaili1, V. Miranda1, A. Botterud2, J. Wang2, E. Constantinescu3 1 Instituto de Engenharia de Sistemas e Computado Add to Reading List Source URL: www.pscc-central.org Language: English - Date: 2011-10-28 06:45:05 Econometrics Summary statistics Statistical forecasting Quantile regression Quantile Wind power forecasting Kernel regression Kernel density estimation Normal distribution Statistics Non-parametric statistics Regression analysis
519	Two-Stage Learning Kernel Algorithms Corinna Cortes Google Research, 76 Ninth Avenue, New York, NY[removed]CORINNA @ GOOGLE . COM Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:36 Statistical classification Operator theory Support vector machine Kernel Reproducing kernel Hilbert space Positive-definite kernel Statistics Non-parametric statistics Hilbert space
520	Practice Midterm CMSC 426 The midterm will cover material up to and including background subtraction. Here are some topics it will be helpful to master for the midterm:  Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2010-03-18 10:16:21 Computer vision Computer graphics Gaussian function Histogram equalization Kernel density estimation Gaussian filter Histogram Edge detection Filter Image processing Statistics Non-parametric statistics

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