• SimpleMKL

  • Referenced in 66 articles [sw12290]
  • SimpleMKL. Multiple kernel learning (MKL) aims at simultaneously learning a kernel and the associated predictor ... vector machine, an efficient and general multiple kernel learning algorithm, based on semi-infinite linear ... weights that encourages sparse kernel combinations. Apart from learning the combination, we solve a standard ... multiple kernels. We propose an algorithm, named SimpleMKL, for solving this MKL problem and provide...
  • SpicyMKL

  • Referenced in 9 articles [sw14765]
  • optimization algorithm for multiple kernel learning (MKL) called SpicyMKL, which is applicable to general convex...
  • EasyMKL

  • Referenced in 6 articles [sw32450]
  • learning algorithm. The goal of Multiple Kernel Learning (MKL) is to combine kernels derived from...
  • JKernelmachines

  • Referenced in 2 articles [sw10890]
  • kernel combination methods such as Multiple Kernel Learning (MKL), and a recently published algorithm...
  • SMATER

  • Referenced in 1 article [sw30962]
  • architecture. Sparse matrix vector multiplication (SpMV) is an important computational kernel in traditional high-performance ... matrix during runtime. SMATER leverages a machine-learning model and retargetable back-end library ... times that of the Intel Math Kernel Library (MKL) on Intel E5-2680 v3) while...
  • Matlab

  • Referenced in 13100 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • CUDA

  • Referenced in 1288 articles [sw03258]
  • The NVIDIA® CUDA® Toolkit provides a comprehensive development...
  • SHOGUN

  • Referenced in 103 articles [sw03517]
  • The SHOGUN machine learning toolbox. We have developed...
  • LIBSVM

  • Referenced in 1155 articles [sw04879]
  • LIBSVM is a library for Support Vector Machines...
  • MKL

  • Referenced in 137 articles [sw06975]
  • Intel® Math Kernel Library (Intel® MKL) 11.0 includes...
  • GitHub

  • Referenced in 2108 articles [sw23170]
  • GitHub (originally known as Logical Awesome LLC)[3...