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Statistical learning theory
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#	Item
691	2.8 Quality estimation and methods comparison. During quality estimation of the method of decision tree constructions, it is necessary to take into account required computer resources (time and memory). At the same time, Add to Reading List Source URL: www.math.nsc.ru Language: English - Date: 2004-10-12 13:38:54 Machine learning Estimation theory Signal processing Sample size determination Cross-validation Sample Quantitative comparative linguistics Estimating equations Statistics Sampling Statistical inference
692	Estimating Uncertainty in Quantitative Text Analysis∗ Will Lowe MZES, University of Mannheim [removed] Kenneth Benoit Add to Reading List Source URL: www.kenbenoit.net Language: English - Date: 2011-03-30 10:21:57 Estimation theory Machine learning Econometrics Maximum likelihood Non-parametric statistics Item response theory Resampling Regression analysis Bootstrapping Statistics Statistical inference Statistical models
693	Statistics Seminar for Graduate Students Prof. Felix Abramovich[removed], Fall term Topics[removed]Model selection in linear regression: formulation of the problem; complexity Add to Reading List Source URL: www.math.tau.ac.il Language: English - Date: 2013-10-21 07:18:10 Econometrics Statistical inference Estimation theory Machine learning Bayesian inference Linear regression Gibbs sampling Interval estimation Statistics Regression analysis Statistical theory
694	June 2014 Project-SET Sampling Variability Final Learning Trajectory 1,2 Add to Reading List Source URL: www.causeweb.org Language: English - Date: 2014-06-09 20:16:50 Sampling Measurement Statistical tests Statistical parameter Sampling distribution Sample size determination Confidence interval Parameter Statistic Statistics Statistical theory Statistical inference
695	TRAX is an Initial Training Networks (ITN) research project sponsored by the EU under the Marie Curie actions in the 7th Framework Program. TRAX concentrates on Tracking in Complex Sensor Systems, focussing on complexiti Add to Reading List Source URL: isif.org Language: English - Date: 2013-10-02 14:16:59 Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Statistical theory Xsens Surveillance Monte Carlo method Machine learning Statistics Probability and statistics Science
696	Learning Rotations Online UCSC-SOE[removed]Adam M. Smith and Manfred K. Warmuth Department of Computer Science University of California, Santa Cruz Add to Reading List Source URL: adamsmith.as Language: English - Date: 2013-03-17 01:17:48 Statistical models Maximum likelihood Exponential family Normal distribution Loss function Directional statistics Fisher information Expectation–maximization algorithm Statistics Statistical theory Estimation theory
697	CoBaFi — Collaborative Bayesian Filtering Alex Beutel Kenton Murray Carnegie Mellon University Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2014-02-02 23:19:35 Statistical inference Collective intelligence Recommender system Statistical theory Collaborative filtering Normal distribution Netflix Confidence interval Mixture model Statistics Statistical models Machine learning
698	A DATA-ORIENTED, ACTIVE LEARNING, POST-CALCULUS INTRODUCTION TO STATISTICAL CONCEPTS, METHODS, AND THEORY Allan J. Rossman and Beth L. Chance Department of Statistics Add to Reading List Source URL: icots.net Language: English - Date: 2013-03-23 20:23:45 Statistics education Statistical theory Statistical inference Survey methodology Mathematics Mathematical statistics Advanced Placement Statistics Probability Sample size determination Statistics Mathematical sciences Mathematics education
699	Computational decision theory and Bayesian methods for exploring sparse structural aberrations in cancer genomes Chris Holmes1 , Professor of Biostatistics, Department of Statistics, & Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-02-26 14:40:39 Estimation theory Statistical theory Machine learning Bioinformatics Hidden Markov model Markov chain Loss function Bayes estimator Mixture model Statistics Probability and statistics Markov models
700	Learning from Noisy Side Information by Generalized Maximum Entropy Model Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-21 10:46:22 Statistical theory Multivariate statistics Information Age Mutual information Constrained clustering Cluster analysis Principle of maximum entropy Segmentation Entropy Statistics Information theory Machine learning

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