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Likelihood function
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#	Item
591	1 Expectation-Maximization Algorithm and Image Segmentation Daozheng Chen In computer vision, image segmentation problem is to partition a digital image Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2013-03-06 15:23:54 Bayesian statistics Multivariate statistics Cluster analysis Expectation–maximization algorithm Maximum likelihood K-means clustering Mixture model Segmentation Likelihood function Statistics Estimation theory Machine learning
592	Methods to Estimate Dynamic Stochastic General Equilibrium Models∗ Francisco J. Ruge-Murcia D´epartement de sciences ´economiques and C.I.R.E.Q., Universit´e de Montr´eal First Draft: August 2002 Add to Reading List Source URL: www.clevelandfed.org Language: English - Date: 2004-08-11 09:49:22 Statistical inference Dynamic stochastic general equilibrium Maximum likelihood Macroeconomic model Vector autoregression Structural estimation Confidence interval Likelihood function Fisher information Statistics Estimation theory Econometrics
593	Geophys. J. Int[removed], 515–565 Gaussian statistics for palaeomagnetic vectors J. J. Love1 and C. G. Constable2 1 US Add to Reading List Source URL: geomag.usgs.gov Language: English - Date: 2012-11-01 16:39:54 Directional statistics Exponentials Gaussian function Gaussian process Mode Rice distribution Maximum likelihood Log-normal distribution Gamma distribution Statistics Normal distribution Summary statistics
594	Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:35 Estimation theory Maximum likelihood Statistical theory XTR Time complexity Spectral theory of ordinary differential equations Non-analytic smooth function Theoretical computer science Mathematics Applied mathematics
595	Phylogenetic Grammar Induction Taylor Berg-Kirkpatrick and Dan Klein Computer Science Division University of California, Berkeley {tberg, klein}@cs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-05-28 19:03:56 Statistical theory Historical linguistics Speech recognition Maximum likelihood Expectation–maximization algorithm Likelihood function Tree model Natural language processing Marginal likelihood Statistics Estimation theory Bayesian statistics
596	Discriminative Learning for Differing Training and Test Distributions Steffen Bickel Michael Br¨ uckner Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:37 Econometrics Estimation theory Maximum likelihood Linear classifier Loss function Support vector machine Normal distribution Spectral theory of ordinary differential equations Statistics Statistical theory Statistical classification
597	;009S One-aircraft tandem survey - analysis of pod sighting data from line transect aerial surveys using one aircraft to repeat selected track segments. Summary Add to Reading List Source URL: www.nefsc.noaa.gov Language: English - Date: 2008-04-21 13:03:14 Maximum likelihood Likelihood function Likelihood-ratio test Normal distribution Statistics Estimation theory Statistical theory
598	International Journal of Computer Vision 75(2), 267–282, 2007 c 2007 Springer Science + Business Media, LLC. Manufactured in the United States. DOI: [removed]s11263[removed]POP: Patchwork of Parts Models for Objec Add to Reading List Source URL: www.stat.uchicago.edu Language: English - Date: 2014-04-22 17:05:50 Bayesian statistics Statistical models Measurement Expectation–maximization algorithm Missing data Constellation model Conjugate prior Likelihood function Dimensional analysis Statistics Estimation theory Probability and statistics
599	U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5200 Auth Road Camp Springs, MD[removed] Add to Reading List Source URL: www.lib.ncep.noaa.gov Language: English - Date: 2002-01-22 02:31:26 Control theory Linear filters Maximum likelihood Kalman filter Data assimilation Likelihood function Covariance matrix Normal distribution Bayesian linear regression Statistics Estimation theory Bayesian statistics
600	Heteroscedastic Gaussian Process Regression Quoc V. Le [removed] Alex J. Smola [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:31 Regression analysis Linear regression Normal distribution Confidence interval M-estimator Gaussian function Log-normal distribution Likelihood function Variance Statistics Econometrics Estimation theory

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