Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner

First Page		Document Content
Date: 2012-05-15 11:47:37 Statistics Probability Maximum likelihood estimation Probability distributions Bayesian statistics Expectationmaximization algorithm Mixture model Normal distribution K-means clustering Likelihood function Data stream clustering Gamma distribution		Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: eew.caltech.edu Download Document from Source Website File Size: 777,95 KB Share Document on Facebook

	Maximum Likelihood Estimation for Allele Frequencies Biostatistics 666 Previous Series of Lectures: Introduction to Coalescent Models DocID: 1vqGj - View Document
	ECE 901 Lecture 14: Maximum Likelihood Estimation and Complexity Regularization R. Nowak DocID: 1vgnM - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation DocID: 1vbHd - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown DocID: 1v01G - View Document
	Error model estimation by maximum-likelihood methods in the context of dynamic modeling Mirjam Fehling-Kaschek1 , Daniel Kaschek1 , Wolfgang Mader1 , Marcus Rosenblatt1 , Jens Timmer1,2,3 1 Institute of Physics, Freibur DocID: 1uWYB - View Document