First Page | Document Content | |
---|---|---|
![]() Date: 2008-11-26 10:37:30Statistical theory Estimation theory Boolean model Stochastic geometry Poisson process Markov chain Maximum likelihood Statistical inference Markov model Statistics Probability theory Markov processes | Add to Reading List |
![]() | Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham KakadeDocID: 1vkcR - View Document |
![]() | Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham KakadeDocID: 1vbLp - View Document |
![]() | ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood EstimationDocID: 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, 2018DocID: 1v6Ai - View Document |
![]() | Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham KakadeDocID: 1v3Qc - View Document |