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Statistical learning theory
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#	Item
331	Predicting Online Media Effectiveness Based on Smile Responses Gathered Over the Internet Daniel McDuff, Rana el Kaliouby, David Demirdjian and Rosalind Picard I. I NTRODUCTION The face has been shown to communicate disc Add to Reading List Source URL: www.affectiva.com Language: English - Date: 2014-10-31 18:01:12 Machine learning Data mining Detection theory Receiver operating characteristic Naive Bayes classifier Affective computing Smile Gain Affect Statistics Statistical classification Feeling
332	Game theory deployed in defense against network foe, SPAM. 20 August, 2013 (Sydney): Researchers at the Capital Markets Cooperative Research Centre (CMCRC), the Australian independent academic centre for capital market r Add to Reading List Source URL: www.cmcrc.com Language: English - Date: 2013-08-20 22:21:54 Spam filtering Spamming Machine learning Computer-mediated communication Information technology management Spam Email spam Email filtering Statistical classification Internet Computing Email
333	Value Proposition for Acoustic Fan Monitoring Technology Add to Reading List Source URL: www.ee.surrey.ac.uk Language: English - Date: 2009-09-22 09:52:10 Structure Statistical classification Mathematics Abstraction Complex systems theory Complexity Alcatel-Lucent Support vector machine Separable space Topology Machine learning Systems
334	Journal of Machine Learning Research1351 Submitted 6/09; Revised 11/09; Published 4/10 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-04-09 15:08:40 Regression analysis Statistical theory M-estimators Linear regression Maximum likelihood Loss function Supervised learning Poisson regression Nonparametric regression Statistics Econometrics Estimation theory
335	Journal of Machine Learning Research2869 Submitted 1/12; Revised 7/12; PublishedA Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:06:35 Detection theory Receiver operating characteristic Socioeconomics Statistical classification Statistical hypothesis testing Statistics Biostatistics Data mining
336	On the Optimality of Averaging in Distributed Statistical Learning Jonathan Rosenblatt, joint with Boaz Nadler. Weizmann Institute of Science Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-02-08 06:16:07 Decision theory Loss function Estimation theory Statistics Statistical theory Econometrics
337	Appears in From Statistics to Neural Networks: Theory and Pattern Recognition Applications, V. Cherkassky, J.H. Friedman and H. Wechsler (eds.), NATO ASI Series F, Springer-VerlagPrediction Risk and Architecture Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:50 Regression analysis Model selection Least squares Cross-validation Resampling Pruning Overfitting Training set Estimation theory Statistics Machine learning Statistical inference
338	Journal of Machine Learning Research3472 Submitted 7/12; PublishedFast Approximation of Matrix Coherence and Statistical Leverage Petros Drineas Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-01-07 18:40:32 Numerical linear algebra Matrix theory Functional analysis Matrices Orthogonal matrix Matrix Singular value decomposition Randomized algorithm QR decomposition Algebra Linear algebra Mathematics
339	Introduction to Statistical Inference and Learning Instructors: Jonathan Rosenblatt, Boaz Nadler In this course we will cover the basic concepts underlying modern data analysis, machine learning and statistical inference Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2014-11-05 01:46:12 Machine learning Vladimir Vapnik Year of birth missing Density estimation Estimation theory Parametric statistics Interval estimation Kernel smoother Computational learning theory Statistics Statistical inference Non-parametric statistics
340	School of Dentistry Preparation of Research Protocol Guidelines The preparation of a research protocol for BDSc/MPhil, BOralH Honours, BDentSt and DClinDent is an integral part of the learning process. It is by the prepa Add to Reading List Source URL: www.dentistry.uq.edu.au Language: English - Date: 2013-07-10 01:40:37 Scientific method Philosophy of science Statistical inference Hypothesis Statistical hypothesis testing Research Scientific theory Experiment Statistical significance Science Design of experiments Hypothesis testing

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