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Multivariate analysis
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31	– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:31 Algebra Physics Statistics Linear algebra Multivariate statistics Statistical classification Support vector machine Machine learning Euclidean vector Principal component analysis Light scattering Scattering
32	SEPTEMBERCARTER AND ELSNER 515 Add to Reading List Source URL: myweb.fsu.edu Language: English - Date: 2016-08-22 10:16:44 Meteorology Statistics Physical geography Multivariate statistics Statistical classification Weather forecasting Weather prediction Hydrology Rain Linear discriminant analysis Precipitation Discriminant function analysis
33	Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2005-01-07 15:34:20 Statistics Probability Mathematical analysis Statistical models Machine learning Markov models Linear algebra Multivariate statistics Discriminative model Kalman filter Generative model Normal distribution
34	Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection Add to Reading List Source URL: pmg.it.usyd.edu.au Language: English - Date: 2011-10-04 00:04:53 Statistics Dimension reduction Data mining Multivariate statistics Robust statistics Machine learning Outlier Local outlier factor Anomaly detection Principal component analysis Random sample consensus Dimensionality reduction
35	D:/Compile/1/Document_dup.dvi Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2014-04-04 04:24:44 Mathematical analysis Analysis Statistics Probability theory Probability distribution Discretization Total correlation Multivariate statistics Data transformation Univariate
36	MEMOCODE 2014 Design Contest: k-Nearest Neighbors with Mahalanobis Distance Metric Peter Milder Department of Electrical and Computer Engineering Stony Brook University Stony Brook, NY 11794–2350 Add to Reading List Source URL: www.ece.stonybrook.edu Language: English - Date: 2014-10-15 09:48:22 Statistics Data analysis Computing Search algorithms Covariance and correlation Multivariate statistics Machine learning Mahalanobis distance Statistical distance Xeon Nearest neighbor search K-nearest neighbors algorithm
37	To appear in Neural Computation Methods for Binary Multidimensional Scaling Douglas L. T. Rohde School of Computer Science, Carnegie Mellon University, and the Center for the Neural Basis of Cognition Add to Reading List Source URL: tedlab.mit.edu Language: English - Date: 2012-08-07 12:32:37 Algebra Mathematics Linear algebra Vectors Multivariate statistics Matrix theory Abstract algebra Multidimensional scaling Singular value decomposition Euclidean vector Principal component analysis Latent semantic analysis
38	7.2 STATISTICAL FORECASTS OF WESTERN WILDFIRE SEASON SEVERITY 1, 1 Add to Reading List Source URL: ulmo.ucmerced.edu Language: English - Date: 2009-09-24 14:04:55 Statistics Prediction Statistical forecasting Multivariate statistics Covariance and correlation Estimation theory Time series analysis Canonical correlation Wildfire Principal component analysis Forecasting G factor
39	Genome Informatics 13: 112–Marginalized Kernels for RNA Sequence Data Analysis Taishin Kin Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:39 Algebra Mathematics Linear algebra Multivariate statistics Hilbert space Operator theory Geostatistics Kernel method Transfer RNA Kernel principal component analysis Positive-definite kernel Kernel
40	Microsoft Word - articuloPoster2 Add to Reading List Source URL: columbus.exp.sis.pitt.edu Language: English - Date: 2014-09-24 15:13:20 Computing Statistics Learning Cluster analysis Data mining Geostatistics Multivariate statistics Unsupervised learning Computer cluster K-means clustering Teacher Data analysis

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