• LVQ_PAK

  • Referenced in 30 articles [sw12122]
  • presented. Two new features are included: fast conflict-free initial distribution of codebook vectors into ... class zones and the optimized-learning-rate algorithm OLVQ1...
  • Bolasso

  • Referenced in 28 articles [sw31649]
  • selection (i.e., variable selection). For a specific rate decay, we show that the Lasso selects ... model with probability tending to one exponentially fast, while it selects all other variables with ... data and datasets from the UCI machine learning repository...
  • MetaGrad

  • Referenced in 1 article [sw40373]
  • adaptation using multiple learning rates in online learning. We provide a new adaptive method ... general convex losses but achieves faster rates for a broad class of special functions, including ... known to imply fast rates in offline statistical learning. MetaGrad further adapts automatically...
  • elmNNRcpp

  • Referenced in 1 article [sw38793]
  • fast) and there is no need to set any other parameters like learning rate, momentum...
  • LVQPAK

  • Referenced in 1 article [sw25989]
  • presented. Two new features are included: fast conflict-free initial distribution of codebook vectors into ... class zones and the optimized-learning-rate algorithm OLVQ1...
  • k2

  • Referenced in 2 articles [sw39144]
  • Transducer (FST) algorithms into autograd-based machine learning toolkits like PyTorch and TensorFlow. For speech ... network). This can be used as a fast implementation of decoding ... direct advantage in terms of Word Error Rate when compared with existing technology...
  • Ithemal

  • Referenced in 1 article [sw25886]
  • Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. Statically estimating ... basic block instructions using machine learning. Ithemal uses a novel Directed Acyclic Graph-Recurrent Neural ... while predicting throughput values at a faster rate than aforementioned tools. We also show that...
  • GoGP

  • Referenced in 1 article [sw23912]
  • GoGP: Fast Online Regression with Gaussian Processes. One of the most current challenging problems ... scale datasets and to accommodate an online learning setting where data arrive irregularly ... guarantee that with a good convergence rate our proposed algorithm always produces a (sparse) solution...
  • Loda

  • Referenced in 1 article [sw15626]
  • with error rates similar to those of more sophisticated methods. In unsupervised learning, namely ... updated on-line. Besides being fast and accurate, Loda is also able to operate...
  • ANSYS

  • Referenced in 685 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ATLAS

  • Referenced in 198 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • GAP

  • Referenced in 3068 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • Gmsh

  • Referenced in 690 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • KNITRO

  • Referenced in 191 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...
  • LANCELOT

  • Referenced in 304 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • LAPACK

  • Referenced in 1677 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Magma

  • Referenced in 3137 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...
  • Maple

  • Referenced in 5296 articles [sw00545]
  • The result of over 30 years of cutting...
  • MATCONT

  • Referenced in 421 articles [sw00551]
  • MATCONT: Matlab software for bifurcation study of dynamical...