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Statistical learning theory
Results: 800

#	Item
81	Late Breaking Result Poster, IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, Online Learning of Sagittal Push Recovery for Bipedal Robots Marcell Missura and Sven Behnke Institute fo Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-05-24 09:34:17 Statistical theory Estimation theory
82	Testing Models of Social Learning on Networks Add to Reading List Source URL: thred.devecon.org Language: English - Date: 2016-05-27 15:28:06 Statistical models Statistical inference Statistical theory Bayesian network Networks Bayesian inference Bayesian statistics Prior probability Bayesian probability
83	ADVANCES in UNIVERSUM LEARNING 1 Vladimir Cherkassky 1 and Sauptik Dhar 2 Dept. of Electrical & Computer Eng., University of Minnesota, Minneapolis, MNtelfaxemail Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:34 Machine learning Statistical classification Support vector machine Learning Transduction Statistical learning theory Binary classification Pattern recognition Artificial neural network
84	Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent Wei Xu Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-12-22 22:14:38 Econometrics Estimation theory Statistical theory M-estimators Regression analysis Loss function Stochastic gradient descent Linear regression
85	Stats workshop I Learning objectives: explain when and why statistics are necessary identify the information gained from the mean, standard error (SE), and standard error of the mean (SEM) understand the idea of random Add to Reading List Source URL: datanuggets.org Language: English - Date: 2014-03-06 18:44:41 Measurement Probability distributions Statistical theory Statistical inference Normal distribution Standard error Standard deviation Histogram Statistics Errors and residuals Deviation Sample size determination
86	3rd Annual Health Econometrics Workshop Add to Reading List Source URL: www.healtheconometrics.org Language: English - Date: 2011-09-23 00:53:50 Statistical models Machine learning Estimation theory Categorical data Latent class model Mixture model Maximum likelihood estimation Errors-in-variables models Latent variable model
87	Towards Using Reranking in Hierarchical Classification Qi Ju, Richard Johansson, and Alessandro Moschitti DISI, University of Trento, Italy {qi,johansson,moschitti}@disi.unitn.it Add to Reading List Source URL: livingknowledge.europarchive.org Language: English - Date: 2012-01-23 06:47:21 Hilbert space Operator theory Statistical classification Support vector machine NP Feature selection Machine learning Oracle machine Kernel method Tree kernel Positive-definite kernel
88	MLSS 2014 – Introduction to Machine Learning Lecture 1 J. Zico Kolter July 7, 2014 Add to Reading List Source URL: www.mlss2014.com Language: English - Date: 2014-07-07 07:00:05 Machine learning Supervised learning Test set MNIST database Overfitting Logistic model tree Statistical learning theory
89	Bayesian Learning Using Automatic Relevance Determination Prior with an Application to Earthquake Early Warning Chang Kook Oh1; James L. Beck2; and Masumi Yamada3 Abstract: A novel method of Bayesian learning with automa Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2010-06-15 00:37:08 Statistical theory Naive Bayes classifier Statistical classification Bayesian inference KullbackLeibler divergence Bayesian network
90	AUTOMATIC MUSIC TAGGING WITH TIME SERIES MODELS Luke Barrington Emanuele Coviello University of California, University of California, San Diego San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Estimation theory Statistical models Statistical theory Cluster analysis Machine learning Mixture model Expectationmaximization algorithm Maximum likelihood estimation

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