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Estimation theory
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#	Item
611	Model selection Large scale model selection Summary and open problems Model Selection and Computational Oracle Inequalities for Large Scale Problems Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2012-07-10 18:14:07 Econometrics Statistical theory Regression analysis Estimation theory Linear regression Feature selection Model selection Support vector machine Loss function Oracle Database Natural selection Prediction
612	Shift-Pessimistic Active Learning Using Robust Bias-aware Prediction Anqi Liu, Lev Reyzin and Brian D. Ziebart University of Illinois at Chicago , , Introduction •  Add to Reading List Source URL: www.levreyzin.com Language: English Statistics Knowledge Estimation theory Academia Statistical inference Machine learning Generalization error Confidence interval Regression analysis Kernel density estimation
613	Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-24 16:38:48 Statistics Probability Estimation theory Stochastic processes Statistical models Probability distributions Cluster analysis Mixture model Dirichlet process Mixture distribution Identifiability
614	Learning from Corrupted Binary Labels via Class-Probability Estimation Aditya Krishna Menon∗ ADITYA . MENON @ NICTA . COM . AU Brendan van Rooyen† BRENDAN . VANROOYEN @ NICTA . COM . AU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:46 Statistics Estimation theory Expectationmaximization algorithm Missing data Mathematical analysis Mathematics Probability distributions
615	Introduction to Time Series Analysis. Lecture 13. Peter Bartlett Last lecture: 1. Yule-Walker estimation 2. Maximum likelihood estimator Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-10-19 01:00:12 Estimation theory Statistics Statistical theory Maximum likelihood estimation Likelihood function
616	Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 141: 182–194, January 2015 A DOI:qj.2348 Assimilation of oceanographic observations with estimates of vertical background-error cov Add to Reading List Source URL: www.sincem.unibo.it Language: English - Date: 2015-06-18 07:22:34 Statistics Statistical theory Oceanography Control theory Linear filters Bayesian statistics Estimation theory Covariance and correlation Kalman filter Data assimilation Covariance Argo
617	Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction Anqi Liu Lev Reyzin Brian D. Ziebart Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2014-11-21 20:49:00 Machine learning Statistics Learning Estimation theory Statistical theory M-estimators Supervised learning Generalization error Cross entropy Maximum likelihood estimation Regression analysis Loss function
618	An Empirical Evaluation of Thompson Sampling Lihong Li Yahoo! Research Santa Clara, CA Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 03:34:34 Statistics Probability distributions Statistical inference Estimation theory Machine learning Stochastic optimization Bayesian inference Sampling Normal distribution Beta distribution Multi-armed bandit Confidence interval
619	arXiv:1110.0107v2 [cs.CV] 5 AprLearning to relate images: Mapping units, complex cells and simultaneous eigenspaces Roland Memisevic University of Frankfurt Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-04-08 20:12:35 Machine learning Learning Artificial intelligence Estimation theory Computational neuroscience Computational statistics Dimension reduction Feature learning Mixture model Linear regression Autoencoder Gibbs sampling
620	JMLR: Workshop and Conference Proceedings 1: 1-16 KDD Cup 2010 Feature Engineering and Classifier Ensemble for KDD Cup 2010 Add to Reading List Source URL: pslcdatashop.org Language: English - Date: 2012-10-29 14:34:19 Statistics Machine learning Artificial intelligence Statistical classification Ensemble learning Regression analysis Estimation theory Linear classifier Support vector machine AdaBoost Logistic regression Netflix Prize

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