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Asymptotic theory
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#	Item
221	Asymptotic Analysis of Generative Semi-Supervised Learning Joshua V. Dillon [removed] Krishnakumar Balasubramanian [removed] Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:35 Statistical theory Supervised learning Semi-supervised learning Pattern recognition Maximum likelihood Bias of an estimator Fisher information Variance Statistics Machine learning Estimation theory
222	Journal of Machine Learning Research[removed] Submitted 6/06; Published 4/07 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2007-04-20 21:35:30 Physics Integral calculus Integration by substitution Universal property Hilbert space Spectral theory of ordinary differential equations Errors-in-variables models Mathematics Operator theory Mathematical analysis
223	Saskatchewan Remembers WRITE YOUR LIFE STORY! The following list of topics and questions may be helpful if you are interested in writing your life story. They are designed to prompt you to think about different aspects Add to Reading List Source URL: scaa.sk.ca Language: English - Date: 2006-05-16 18:54:07 Mathematical notation Imagin Semiotic information theory Analysis of algorithms Asymptotic analysis Big O notation
224	International Journal of Pure and Applied Mathematics Volume 83 No[removed], [removed]ISSN: [removed]printed version); ISSN: [removed]on-line version) url: http://www.ijpam.eu doi: http://dx.doi.org[removed]ijpam.v83i Add to Reading List Source URL: www.ijpam.eu Language: English - Date: 2013-03-12 04:59:43 Estimation theory Statistical theory Data analysis Bootstrapping Confidence interval Asymptotic theory Resampling Regression analysis Interval estimation Statistics Statistical inference Econometrics
225	Factorized Asymptotic Bayesian Hidden Markov Models Ryohei Fujimaki [removed] NEC Laboratories America, 10080 North Wolfe Road SW3-350, Cupertino, CA[removed]USA Kohei Hayashi Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Statistical theory Expectation–maximization algorithm Missing data Bayesian statistics Variational Bayesian methods Hidden Markov model Gamma distribution Markov chain Latent Dirichlet allocation Statistics Estimation theory Markov models
226	arXiv:1301.6356v3 [cs.IT] 13 May[removed]Brute force searching, the typical set and Guesswork Mark M. Christiansen and Ken R. Duffy Fl´avio du Pin Calmon and Muriel M´edard Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-05-14 03:56:14 Information theory Asymptotic equipartition property Mathematics
227	Introduction to Algorithms: 6.006 Massachusetts Institute of Technology Professors Erik Demaine and Srini Devadas September 15, 2011 Problem Set 2 Add to Reading List Source URL: courses.csail.mit.edu Language: English - Date: 2011-09-25 21:36:41 Computer science Programming idioms Computational complexity theory Asymptotic analysis Recursion Theory of computation Rendering Big O notation Time complexity Theoretical computer science Analysis of algorithms Mathematics
228	6.851: Advanced Data Structures Spring 2012 Lecture 13 — April 5, 2012 Prof. Erik Demaine Add to Reading List Source URL: courses.csail.mit.edu Language: English - Date: 2012-05-29 13:10:42 Communication Computational complexity theory Analysis of algorithms Asymptotic analysis Big O notation Mathematical notation Information theory Communication complexity Combinatory logic Theoretical computer science Applied mathematics Mathematics
229	Introduction to Algorithms: 6.006 Massachusetts Institute of Technology Professors Erik Demaine and Srini Devadas September 16, 2011 Problem Set 1 Solutions Add to Reading List Source URL: courses.csail.mit.edu Language: English - Date: 2011-09-20 16:34:21 Analysis of algorithms Asymptotic analysis Estimation theory Exponentials Exponentiation Algorithm Time complexity Big O notation Master theorem Mathematics Theoretical computer science Applied mathematics
230	book of ABSTRACTS SESSION 1 Maximum Likelihood Estimation for Alpha-stable AR Processes Add to Reading List Source URL: mit.econ.au.dk Language: English - Date: 2008-09-10 06:37:14 Statistical theory Regression analysis Statistical inference Maximum likelihood Bootstrapping Least squares Normal distribution Asymptotic theory Generalized method of moments Statistics Estimation theory Econometrics

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