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Probability vector
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41	Contents Chapter 1 - More probability........................................................................................... 23 SECTION[removed]TRICKY TREE DIAGRAMS ..................................................... Add to Reading List Source URL: www.completeschool.com.au Language: English - Date: 2010-03-06 03:55:03 Abstract algebra Linear algebra Logarithms Analytic functions Exponentials Matrix Confidence interval Vector space Euclidean vector Mathematics Algebra Mathematical analysis
42	CS 195-5: Machine Learning Problem Set 3 Douglas Lanman [removed] 25 October 2006 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2006-10-23 00:17:58 Statistical classification Estimation theory Probability theory Variance Support vector machine Least squares Tikhonov regularization Statistics Regression analysis Data analysis
43	2010 International Conference on Pattern Recognition 2D Shape Recognition using Information Theoretic Kernels Manuele Bicego∗† , Andr´e F. T. Martins‡ , Vittorio Murino∗† , Pedro M. Q. Aguiar§ , M´ario A. T Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Probability and statistics Kernel Support vector machine N-gram Tsallis entropy Fisher kernel K-nearest neighbor algorithm Statistics Mathematics Statistical classification
44	Statistics & Probability Letters[removed] – 65 Uniqueness, consistency and optimality in spherical regression experiments Hwashin H. Shina , Glen K. Takaharaa;∗ , Duncan J. Murdochb a Department Add to Reading List Source URL: www.stats.uwo.ca Language: English - Date: 2005-03-19 17:58:58 Econometrics Statistical methods AUI Regression analysis Degrees of freedom Rotation matrix Quaternion Vector space Dimensional analysis Algebra Mathematics Linear algebra
45	Probability Spaces of Information Retrieval Gianni Amati Glasgow, 27 August[removed] Add to Reading List Source URL: ir.dcs.gla.ac.uk Language: English - Date: 2004-10-18 15:02:40 Statistical natural language processing Natural language processing Tf*idf Probability space Probability Language model Vector space model SMART Information Retrieval System Information science Information retrieval Science
46	........................................................................... STAT 538 Final Exam Monday March[removed], 10:30-12:20 Student name: .......................................................... Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:37 Bayesian statistics Information theory Statistical classification Randomness Kullback–Leibler divergence Support vector machine Principle of maximum entropy Entropy Bayesian network Statistics Statistical theory Probability and statistics
47	Journal of Machine Learning Research ? (2014) n–n + 48 Submitted 7/14; Published ? Composite Multiclass Losses Robert C. Williamson Australian National University & NICTA B OB .W ILLIAMSON @ ANU . EDU . AU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-07-27 18:31:45 Statistical classification Statistical theory Scoring rule Bayes estimator Support vector machine Loss function Spectral theory of ordinary differential equations Statistics Decision theory Probability and statistics
48	Composite Multiclass Losses Elodie Vernet ENS Cachan Robert C. Williamson Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-10-26 17:37:59 Decision theory Scoring rule Bayes estimator Support vector machine Statistics Statistical classification Probability and statistics
49	Heterogeneity and cross-country spillovers in macroeconomic-•nancial linkages Add to Reading List Source URL: www.bis.org Language: English - Date: 2012-03-20 12:08:00 Probability theory Algebra of random variables Time series analysis Vector autoregression Variance Gibbs sampling Covariance Normal Degrees of freedom Statistics Econometrics Multivariate statistics
50	Robust Bayes Inference for Non-Identified SVARs∗ Raﬀaella Giacomini†and Toru Kitagawa‡ This draft: March, 2014 Abstract This paper considers a robust Bayes inference for structural vector autoregressions, where Add to Reading List Source URL: ias.ust.hk Language: English - Date: 2014-05-15 03:43:45 Statistical theory Bayesian inference Prior probability Credible interval Robust Bayes analysis Frequentist inference Bayesian linear regression Conjugate prior Statistics Bayesian statistics Statistical inference

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