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Multivariate
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#	Item
221	Document Analysis Jaehyun Park Ahmed Bou-Rabee EE103 Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-03-10 15:25:45 Natural language processing Statistical distance Multivariate statistics Linear algebra Document-term matrix Similarity measure Microsoft Word Word count HP2 Euclidean vector
222	Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Nonparametric statistics Kernel density estimation Density estimation Normal distribution Convolution Standard deviation Positive-definite kernel Multivariate kernel density estimation Kernel embedding of distributions
223	 D Marques, T.A., S.T. Buckland, D.L. Borchers, E. Rexstad and L. ThomasDistance sampling. Ppin Lovric, M. (Ed.), International Encyclopedia of Statistical Science, Springer-Verlag, Berlin. Add to Reading List Source URL: distancesampling.org Language: English - Date: 2016-08-15 18:53:48 Environmental statistics Statistical distance Multivariate statistics Mahalanobis distance Transect Distance sampling Expected value
224	DATA QUALITY IMPLICATIONS OF RASTER GENERALIZATION Howard Veregin and Robert McMaster Department of Geography University of Minnesota 267-19thAveS,Rm414 Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:34:06 Machine learning Matrix Statistical classification Geographic information system Multivariate statistics Dimension reduction
225	Chapter 3 Tree- based Regress ion This chapter describes two different approaches to induce regression trees. We first present the standard methodology based on the minimisation of the squared error. Least squares (LS) r Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Econometrics Estimation theory Mathematical optimization Decision trees Decision tree learning Linear regression Least squares Least absolute deviations Multivariate adaptive regression splines Predictive analytics
226	Graph Drawing by Stress Majorization Emden R. Gansner, Yehuda Koren and Stephen North AT&T Labs — Research Florham Park, NJ 07932 {erg,yehuda,north}@research.att.com Abstract. One of the most popular graph drawing meth Add to Reading List Source URL: www.research.att.com Language: English - Date: 2009-11-17 10:55:58 Multivariate statistics Graph drawing Mathematical analysis Mathematical optimization Stress majorization Force-directed graph drawing Numerical linear algebra Majorization Multidimensional scaling Graph theory Cholesky decomposition Line graph
227	JMLR: Workshop and Conference Proceedings vol 40:1–14, 2015 Variable Selection is Hard Dean P. Foster DEAN @ FOSTER . NET Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Linear algebra Projection Matrix Multivariate random variable Linear combination Basis Vector space Euclidean algorithm Polynomial greatest common divisor
228	Proceedings of the SMC6th Sound and Music Computing Conference, 23-25 July 2009, Porto - Portugal FM4 SOUNDPARK AUDIO-BASED MUSIC RECOMMENDATION IN EVERYDAY USE Martin Gasser Austrian Research Institute Add to Reading List Source URL: smcnetwork.org Language: English - Date: 2011-03-29 11:30:40 Search algorithms Multivariate statistics K-nearest neighbors algorithm Nearest neighbor Recommender system Multidimensional scaling Graph drawing Heightmap FM4 Nintendo DS Music information retrieval Visualization
229	1 Definitions variance = s2y = P Add to Reading List Source URL: grundrisse.org Language: English - Date: 2010-12-30 23:17:47 Covariance and correlation Algebra of random variables Variance Covariance Standard deviation Multivariate statistics Independence Yi script
230	Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens van der Maaten Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Semidefinite embedding Spectral clustering Kernel principal component analysis T-distributed stochastic neighbor embedding

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