
LVQ_PAK
 Referenced in 30 articles
[sw12122]
 presented. Two new features are included: fast conflictfree initial distribution of codebook vectors into ... class zones and the optimizedlearningrate 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 conflictfree initial distribution of codebook vectors into ... class zones and the optimizedlearningrate algorithm OLVQ1...

k2
 Referenced in 2 articles
[sw39144]
 Transducer (FST) algorithms into autogradbased 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 GraphRecurrent 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 online. 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 largescale 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...