• KernSmooth

  • Referenced in 941 articles [sw04586]
  • describe the principles, applications and analysis of kernel smoothers the authors concentrate on the simplest ... nonparametric curve estimation setting, namely density and regression estimation. Special attention is given ... amount of research in the field of kernel smoothing. But the bibliographical notes...
  • SVM

  • Referenced in 30 articles [sw14904]
  • Kernel Methods Matlab Toolbox. Key Features: SVM Classification using linear and quadratic penalization of misclassified ... regression; One-Class SVM; Regularisation Networks; SVM bounds (Span estimate, radius/margin); Wavelet Kernel; SVM Based ... Least Angle Regression (LARS) Algorithm; Wavelet Kernel Regression with backfitting; Interface with a version...
  • Kernlab

  • Referenced in 93 articles [sw07926]
  • Machine Learning Lab. Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile ... regression and dimensionality reduction. Among other methods kernlab includes Support Vector Machines, Spectral Clustering, Kernel...
  • np

  • Referenced in 96 articles [sw10543]
  • implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians ... consistent model specification tests for parametric mean regression models ... parametric quantile regression models, among others. The np package focuses on kernel methods appropriate...
  • sm

  • Referenced in 70 articles [sw12256]
  • package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked ... Applied Smoothing Techniques for Data Analysis - The Kernel Approach with S-Plus Illustrations’ Oxford University...
  • SVMTorch

  • Referenced in 67 articles [sw12121]
  • regression problems. Support Vector Machines (SVMs) for regression problems are trained by solving a quadratic ... kernel methods. London: MIT Press (1998; Zbl 0935.68084)] for classification problems, but adapted to regression...
  • lokern

  • Referenced in 5 articles [sw14666]
  • Package. lokern: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth. Kernel regression smoothing...
  • locpol

  • Referenced in 14 articles [sw14327]
  • package locpol: Kernel local polynomial regression. Computes local polynomial estimators...
  • SimpleMKL

  • Referenced in 65 articles [sw12290]
  • defined as a linear combination of multiple kernels. We propose an algorithm, named SimpleMKL ... applied beyond binary classification, for problems like regression, clustering (one-class classification) or multiclass classification ... some regressors based on wavelet kernels and on some model selection problems related to multiclass...
  • SKAT

  • Referenced in 4 articles [sw26433]
  • Sequence) Kernel Association Test. Functions for kernel-regression-based association tests including Burden test, SKAT...
  • DR-ABC

  • Referenced in 3 articles [sw24742]
  • Approximate Bayesian Computation with Kernel-Based Distribution Regression. Performing exact posterior inference in complex generative ... framework for this task using kernel-based distribution regression. We model the functional relationship between ... function) of summary statistics using kernel-based distribution regression. We show that our approach ... random Fourier features framework for large-scale kernel learning. In addition to that, our framework...
  • Dlib-ml

  • Referenced in 12 articles [sw14413]
  • Bayesian networks and kernel-based methods for classification, regression, clustering, anomaly detection, and feature ranking...
  • spatialkernel

  • Referenced in 3 articles [sw24503]
  • corrected kernel density estimation and binary kernel regression estimation for multivariate spatial point process data...
  • npsp

  • Referenced in 3 articles [sw31433]
  • multidimensional: linear binning, local polynomial kernel regression, density and variogram estimation. Nonparametric methods for simultaneous...
  • rrBLUP

  • Referenced in 4 articles [sw14006]
  • rrBLUP: Ridge Regression and Other Kernels for Genomic Selection. Software for genomic prediction with ... estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive ... relationship matrix or a Gaussian kernel...
  • nprobust

  • Referenced in 2 articles [sw30833]
  • Inference Methods using Local Polynomial Regression and Kernel Density Estimation. Tools for data-driven statistical ... analysis using local polynomial regression and kernel density estimation methods as described in Calonico, Cattaneo...
  • regpro

  • Referenced in 1 article [sw19267]
  • Tools are provided for (1) nonparametric regression (kernel, local linear), (2) semiparametric regression (single index ... additive models), and (3) quantile regression (linear, kernel...
  • snpar

  • Referenced in 1 article [sw28104]
  • test, kernel PDF and CDF estimation, kernel regression estimation and kernel Kolmogorov-Smirnov test...
  • KernelToolBox

  • Referenced in 1 article [sw15844]
  • Kernel Regression-Based Image Processing ToolBox for MATLAB. Kernel Regression-Based Image Processing ToolBox...
  • kFOIL

  • Referenced in 12 articles [sw23358]
  • kernel. In this way, kFOIL implements a dynamic propositionalization approach. Both classification and regression tasks...