• Kernlab

  • Referenced in 103 articles [sw07926]
  • includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver...
  • DENCLUE

  • Referenced in 12 articles [sw28734]
  • algorithm employs a cluster model based on kernel density estimation. A cluster is defined ... hill climbing procedure for Gaussian kernels, which adjusts the step size automatically at no extra...
  • GaussQR

  • Referenced in 98 articles [sw28260]
  • GaussQR: Stable Gaussian computation. Welcome to the GaussQR software website, developed both to facilitate experimentation ... with positive definite kernels (radial basis functions) and as supplemental content for the new book...
  • NESToolbox

  • Referenced in 6 articles [sw19592]
  • time series, which are based on Gaussian-kernel weight functions. Cross-correlation estimation ... makes alternative approaches such as the Gaussian-kernel-based cross correlation [1], the nonlinear Gaussian...
  • ClusterKDE

  • Referenced in 4 articles [sw36221]
  • applications we have used the univariate Gaussian kernel, any smooth kernel function can be used...
  • rrBLUP

  • Referenced in 4 articles [sw14006]
  • rrBLUP: Ridge Regression and Other Kernels for Genomic Selection. Software for genomic prediction with ... additive relationship matrix or a Gaussian kernel...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • many other recent developments in kernel based methods in general. Originally, it has been introduced ... Gaussian processes but additionally emphasize and exploit primal-dual interpretations. Links between kernel versions...
  • JIDT

  • Referenced in 9 articles [sw23550]
  • Kraskov-Stögbauer-Grassberger estimators, box-kernel estimation, linear-Gaussian). JIDT ships with a large number...
  • kergp

  • Referenced in 7 articles [sw14389]
  • Process Laboratory, R package: Gaussian Process models with customised covariance kernels...
  • WAFO

  • Referenced in 25 articles [sw07370]
  • modelling: Simulation of linear and non-linear Gaussian waves; Estimation of seamodels (spectrums); Joint wave ... wave period distributions Statistics: Extreme value analysis; Kernel density estimation, Hidden markov models...
  • SNSequate

  • Referenced in 3 articles [sw21191]
  • methods such that local equating, kernel equating (using Gaussian, logistic and uniform kernels) with presmoothing...
  • QTM

  • Referenced in 3 articles [sw14198]
  • constructed from atomic data using weighted Gaussian isotropic kernel functions and a two-level clustering...
  • fmcmc

  • Referenced in 1 article [sw29501]
  • defined transition kernels: Besides of canonical Gaussian Kernel, users can specify their...
  • MulticlusterKDE

  • Referenced in 1 article [sw41399]
  • kernel density estimator function with multivariate Gaussian kernel. One of the main features...
  • KRLS

  • Referenced in 1 article [sw23167]
  • Kernel-Based Regularized Least Squares. Package implements Kernel-based Regularized Least Squares (KRLS), a machine ... Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller...
  • Pyrcca

  • Referenced in 1 article [sw27033]
  • Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging. Canonical correlation ... with or without linear or a Gaussian kernelization of the datasets. We demonstrate an application...
  • pyMEF

  • Referenced in 2 articles [sw07455]
  • Learning mixtures by simplifying kernel density estimators Gaussian mixture models are a widespread tool ... various means, often using expectation-maximization or kernel density estimation. In addition to these well...
  • gprege

  • Referenced in 9 articles [sw31093]
  • Gaussian process regression”. The software fits two GPs with the an RBF (+ noise diagonal) kernel...
  • H2Pack

  • Referenced in 4 articles [sw38394]
  • multiplication for dense kernel matrices. It can be used for Gaussian processes, solving integral equations...