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Kernel method
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91	Package ‘rasterVis’ October 25, 2014 Type Package Title Visualization methods for the raster package Version 0.32 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-25 15:34:28 Ggplot2 Visualization Histogram Kernel density estimation R Method Statistics Non-parametric statistics Geographic information systems
92	Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data∗ Ashok N. Srivastava, Ph.D.† September 15, 2003 This paper was submitted to the 2004 SIAM Data Mining Conference on September 15, 2003. Add to Reading List Source URL: www.riacs.edu Language: English - Date: 2006-05-22 00:23:38 Cluster analysis Fisher kernel Information retrieval Gaussian function Mixture model Kernel Dirac delta function Expectation–maximization algorithm Support vector machine Statistics Non-parametric statistics Statistical classification
93	Face Alignment through Subspace Constrained Mean-Shifts Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA {jsaragih,slucey,jeffcohn}@cs.cmu.edu Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2009-08-11 11:11:01 Econometrics Regression analysis Statistical models Point distribution model Generalized method of moments Least squares Kernel density estimation Gaussian function KDE Statistics Estimation theory Mathematical optimization
94	TIME-ADAPTIVE KERNEL DENSITY FORECAST: A NEW METHOD FOR WIND POWER UNCERTAINTY MODELING R.J. Bessa1, J. Sumaili1, V. Miranda1, A. Botterud2, J. Wang2, E. Constantinescu3 1 Instituto de Engenharia de Sistemas e Computado Add to Reading List Source URL: www.pscc-central.org Language: English - Date: 2011-10-28 06:45:05 Econometrics Summary statistics Statistical forecasting Quantile regression Quantile Wind power forecasting Kernel regression Kernel density estimation Normal distribution Statistics Non-parametric statistics Regression analysis
95	A Set of GMRES Routines for Real and Complex Arithmetics on High Performance Computers Val´erie Frayss´e ‡ Add to Reading List Source URL: www.cerfacs.fr Language: English - Date: 2005-06-15 06:42:57 Mathematics Generalized minimal residual method Iterative method Krylov subspace Preconditioner Numerical analysis Kernel QR decomposition Least squares Numerical linear algebra Algebra Linear algebra
96	The cross entropy method for classification Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Canada [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:45 Support vector machines Statistical classification Sequential minimal optimization Cross-entropy method Mathematical optimization Vector space Kernel methods Stochastic optimization Stability Machine learning Algebra Statistics
97	An Eﬃcient Method for Simplifying Support Vector Machines DucDung Nguyen [removed] TuBao Ho [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:28 Statistical classification Abstract algebra Singular value decomposition Support vector machine Vector space Kernel Function Algebra Mathematics Linear algebra
98	Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystr¨ om Method Kai Zhang Siemens Corporate Research and Technology, Princeton, NJ Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:56 Support vector machine Rank Kernel Projection Low-rank approximation Eigendecomposition of a matrix Positive-definite kernel Matrix Eigenvalues and eigenvectors Algebra Mathematics Linear algebra
99	Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization Haim Avron Satyen Kale Shiva Prasad Kasiviswanathan Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:32 Numerical linear algebra Singular value decomposition Functional analysis Matrix theory QR decomposition Rank Subgradient method Singular value Kernel Algebra Linear algebra Mathematics
100	Scalable machine learning for massive datasets: Fast summation algorithms VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-19 03:12:22 Supervised learning Kernel regression Support vector machine Multivariate kernel density estimation Kernel methods Kernel density estimation Computational statistics Fast multipole method Gaussian function Statistics Non-parametric statistics Machine learning

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