• LAPACK

  • Referenced in 1702 articles [sw00503]
  • computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded ... memory vector and parallel processors. On these machines, LINPACK and EISPACK are inefficient because their...
  • WEKA

  • Referenced in 305 articles [sw06435]
  • Knowledge Analysis. WEKA is a popular machine learning workbench with a development life of nearly ... This article provides an overview of the factors that we believe to be important...
  • MINOS

  • Referenced in 458 articles [sw05095]
  • basis package (for maintaining sparse LU factors of the basis matrix), automatic scaling of linear ... format. The source code is suitable for machines with a Fortran 66 or 77 compiler...
  • SETHEO

  • Referenced in 122 articles [sw00707]
  • programming language LOP (under development). The inference machine of the system is implemented using Prolog ... proof procedure is realized as a WAM, factorization, lemma generation and the application of proof ... language $C$ and is running on several machines. The important feature of SETHEO...
  • SuperLU

  • Referenced in 195 articles [sw00930]
  • systems of linear equations on high performance machines. The library is written ... through forward and back substitution. The LU factorization routines can handle non-square matrices...
  • ScaLAPACK

  • Referenced in 418 articles [sw00830]
  • networks of workstations supporting parallel virtual machine (PVM) and/or message passing interface ... iterative refinement, for LU and Cholesky factorization, matrix inversion, full-rank linear least squares problems...
  • TAUCS

  • Referenced in 32 articles [sw04014]
  • work with factors whose size is tens of gigabytes on 32-bit machines with...
  • fastFM

  • Referenced in 3 articles [sw17843]
  • fastFM: a library for factorization machines. Factorization Machines (FM) are currently only used ... part of the standard machine learning toolbox, despite their great success in collaborative filtering ... click-through rate prediction. However, Factorization Machines are a general model to deal with sparse ... high dimensional features. Our Factorization Machine implementation (fastFM) provides easy access to many solvers...
  • SuperLU-DIST

  • Referenced in 90 articles [sw00002]
  • systems of linear equations on high performance machines. The library is written ... through forward and back substitution. The LU factorization routines can handle non-square matrices...
  • SETTLE

  • Referenced in 13 articles [sw12892]
  • scalar machine. Furthermore, the performance improvement ranged from factors...
  • Moses

  • Referenced in 25 articles [sw10650]
  • statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion...
  • DeepFM

  • Referenced in 2 articles [sw41629]
  • DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. Learning sophisticated feature interactions behind ... model, DeepFM, combines the power of factorization machines for recommendation and deep learning for feature...
  • OSQP

  • Referenced in 27 articles [sw26960]
  • algorithm iterates. The method also supports factorization caching and warm starting, making it particularly efficient ... parametrized problems arising in finance, control, and machine learning. Our open-source C implementation OSQP ... point methods, and sometimes much more when factorization caching or warm start is used...
  • libFM

  • Referenced in 1 article [sw29652]
  • libFM: Factorization Machine Library. Factorization machines (FM) are a generic approach that allows to mimic ... models by feature engineering. This way, factorization machines combine the generality of feature engineering with ... libFM is a software implementation for factorization machines that features stochastic gradient descent...
  • KGAT

  • Referenced in 2 articles [sw32568]
  • information into account. Traditional methods like factorization machine (FM) cast it as a supervised learning ... multiple linked attributes --- are an essential factor for successful recommendation. We propose a new method...
  • LowRankModels

  • Referenced in 38 articles [sw27002]
  • matrix completion, robust PCA, nonnegative matrix factorization, k-means, and many more. For more information ... GLRM implementation in the H2O machine learning platform with interfaces in a variety of languages...
  • NMF

  • Referenced in 15 articles [sw08143]
  • framework to perform Non-negative Matrix Factorization (NMF). It implements a set of already published ... performing parallel computations on multicore machines...
  • SPARSE-QR

  • Referenced in 17 articles [sw05215]
  • describe a multifrontal method for sparse QR factorization and its implementation in MATLAB ... multifrontal approach is suitable for vector machines. We show that it is also attractive ... accurate as the methods based on QR factorization...
  • KnockoffGAN

  • Referenced in 4 articles [sw42243]
  • such as discovering relevant genetic factors for a disease). Machine learning driven feature selection...
  • HSL_MA87

  • Referenced in 16 articles [sw13037]
  • MA87 provides a parallel sparse Cholesky factorization for real symmetric or complex Hermitian systems that ... performance on modern multi-core machines, giving superior performance to that of other solvers...