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Statistical learning theory
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#	Item
211	GENERAL MULTILELEVEL MODELING WITH SAMPLING WEIGHTS Tihomir Asparouhov Muthen & Muthen Los Angeles, California, USA Add to Reading List Source URL: www.statmodel.com Language: English - Date: 2008-08-13 12:42:34 Regression analysis Machine learning Statistical inference Sampling Linear regression Cluster sampling Mixture model Sample size determination Estimator Statistics Estimation theory Statistical models
212	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
213	Foundation of Intelligent Systems, Part I Statistical Learning Theory (III) FIS Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2012-05-27 21:18:51 VC dimension Mathematics Fourier analysis Measure theory Mathematical sciences Analysis Computational learning theory Dimension Statistical classification
214	CS 2750 Machine Learning Lecture 2 Designing a learning system Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-01-22 10:59:48 Artificial intelligence Estimation theory Maximum likelihood Feature selection Supervised learning Statistics Machine learning Statistical theory
215	Machine Learning in an Auction Environment Patrick Hummel R. Preston McAfee Google Inc. Add to Reading List Source URL: wwwconference.org Language: English - Date: 2014-08-26 00:42:08 Decision theory Econometrics Loss function Statistics Statistical theory Estimation theory
216	Dropout Training as Adaptive Regularization Stefan Wager⇤ , Sida Wang† , and Percy Liang† Departments of Statistics⇤ and Computer Science† Stanford University, Stanford, CA-94305 , {sidaw, pl Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:15:13 Econometrics Estimation theory Statistical classification Supervised learning Regularization Pattern recognition Support vector machine Tikhonov regularization Linear regression Statistics Machine learning Regression analysis
217	Structured Learning of Gaussian Graphical Models Karthik Mohan∗, Michael Jae-Yoon Chung†, Seungyeop Han†, Daniela Witten‡, Su-In Lee§, Maryam Fazel∗ Abstract We consider estimation of multiple high-dimensional Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2012-11-06 17:11:34 Estimation theory Statistical models Gene regulatory network Systems biology Maximum likelihood Graphical model Connectivity Statistics Networks Bayesian statistics
218	Towards detecting influenza epidemics by analyzing Twitter messages Aron Culotta Southeastern Louisiana University Department of Computer Science Hammond, LA 70402 Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2010-07-07 22:21:57 Estimation theory Parametric statistics Machine learning Logistic regression Linear regression Simple linear regression Statistical classification Correlation and dependence Regression Statistics Regression analysis Econometrics
219	The Mathematics of Statistical Machine Translation: Parameter Estimation Peter E Brown* Stephen A. Della Pietra* Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2010-06-14 19:59:37 Markov models Machine learning Statistical machine translation Estimation theory Language model Expectation–maximization algorithm Bitext word alignment Pattern theory Markov chain Statistics Statistical natural language processing Machine translation
220	INTERSPEECHDiscriminative Training for Hierarchical Clustering in Speaker Diarization Oriol Vinyals1,2 , Gerald Friedland2 , Nelson Morgan1,2 University of California, Berkeley, CA, USA International Computer Scie Add to Reading List Source URL: www.icsi.berkeley.edu Language: English - Date: 2011-01-14 19:48:19 Bayesian statistics Machine learning Cluster analysis Expectation–maximization algorithm Maximum likelihood Speech recognition Speaker diarisation Mixture model Bayesian information criterion Statistics Estimation theory Statistical theory

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