Jim_Anand-HDP_submitted_version_021808_Preprint2.DVI

First Page		Document Content
Date: 2008-10-25 23:13:11 Probability theory Statistical theory Stochastic processes Central limit theorem Normal distribution Variance Convergence of random variables Random variable Asymptotic analysis Statistics Probability and statistics Mathematical analysis		Jim_Anand-HDP_submitted_version_021808_Preprint2.DVI Add to Reading List Source URL: mason.gmu.edu Download Document from Source Website File Size: 393,70 KB Share Document on Facebook

	Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade DocID: 1vkcR - View Document
	Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade DocID: 1vbLp - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation DocID: 1vbHd - View Document
	Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018 DocID: 1v6Ai - View Document
	Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade DocID: 1v3Qc - View Document