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Statistical learning theory
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#	Item
281	Regional Training Course on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics Jakarta, Indonesia ,29Sep-10 October 2014. LEARNING OBJECTIVES At the end of the of this session particip Add to Reading List Source URL: www.unsiap.or.jp Language: English - Date: 2015-01-09 02:44:27 Survey methodology Statistical theory Simple random sample Sample Statistical parameter Confidence interval Survey sampling Quantitative marketing research Statistics Sampling Market research
282	Max-margin Methods Notation Notation Example images (v1T, v2T,…,v5T)T, where Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:47:09 Machine learning Support vector machines Information theory Differential geometry Least squares support vector machine Statistics Statistical classification Hinge loss
283	Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Yetian Chen Lingjian Meng Jin Tian Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2015-01-23 16:30:52 Mathematical sciences Statistical theory Bayesian network Networks Discretization Bayesian inference Dynamic programming Statistics Bayesian statistics Mathematics
284	Neural Computation, vol.26, no.1, pp.84–131, Information-Maximization Clustering based on Squared-Loss Mutual Information∗ Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-02-26 18:28:23 Statistical theory Cluster analysis Data mining Geostatistics K-means clustering Kullback–Leibler divergence Mutual information Kernel density estimation Determining the number of clusters in a data set Statistics Multivariate statistics Machine learning
285	Curriculum Vitae Cosma Rohilla Shalizi Contact ADDRESS E-MAIL SEX Add to Reading List Source URL: bactra.org Language: English - Date: 2014-09-30 19:05:08 Cybernetics Interdisciplinary fields ArXiv Open science Neural network Computational neuroscience Computational learning theory Machine learning Statistical inference Science Knowledge Information
286	OF Robotics and Autonomous Systems–15 Solving weak transduction with expectation maximization Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2002-10-28 22:52:26 Statistical theory M-estimators Expectation–maximization algorithm Missing data Reinforcement learning Likelihood function Kullback–Leibler divergence Maximum likelihood Conjugate prior Statistics Estimation theory Bayesian statistics
287	Physics Lesson 1 Science Skills and Safety Learning Objectives: • Add to Reading List Source URL: resources.edb.gov.hk Language: English - Date: 2010-12-12 23:24:20 Measurement Cognition Statistical theory Uncertainty Teacher Scientific method Significant figures Science Knowledge Statistics
288	Appl Intell: 205–217 DOIs10489Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis Dragan Gamberger · Nada Lavraˇc · Antonija Krst Add to Reading List Source URL: www-ai.ijs.si Language: English - Date: 2013-03-25 06:53:46 Decision theory Anatomy Theoretical computer science Statistical classification Applied mathematics Classification rule Supervised learning Algorithm Decision rule Machine learning Aging-associated diseases Statistics
289	2010 International Conference on Pattern Recognition The balanced accuracy and its posterior distribution Kay H. Brodersen∗† , Cheng Soon Ong∗ , Klaas E. Stephan† and Joachim M. Buhmann∗ ∗ Department † Ins Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2015-01-04 06:15:50 Statistical theory Biostatistics Psychometrics Cross-validation Receiver operating characteristic Accuracy and precision Binary classification Confusion matrix Support vector machine Statistics Machine learning Statistical classification
290	Nonlinear Estimation and Classification, Springer, The Boosting Approach to Machine Learning An Overview Robert E. Schapire AT&T Labs Research Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-08 18:16:11 Artificial intelligence Statistical classification AdaBoost Boosting LogitBoost Computational learning theory Binary classification Generalization error Multiclass classification Machine learning Ensemble learning Statistics

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