• DR-ABC

  • Referenced in 2 articles [sw24742]
  • there are only few principled general-purpose approaches to the selection or construction of such ... kernel-based distribution regression. We model the functional relationship between data distributions and the optimal ... loss function) of summary statistics using kernel-based distribution regression. We show that our approach...
  • TurboEELS

  • Referenced in 2 articles [sw19956]
  • approach to linearized time-dependent density-functional theory, designed to simulate electron energy loss ... periodic solids. turboEELS is open-source software distributed under the terms...
  • DeepTrack

  • Referenced in 2 articles [sw27576]
  • First, we introduce a novel truncated structural loss function that maintains as many training samples ... enhance the ordinary Stochastic Gradient Descent approach in CNN training with a robust sample selection ... positive and negative samples from different temporal distributions, which are generated by taking the temporal ... such as occlusion or incorrect detections, without loss of the effective adaption for significant appearance...
  • ParBreZo

  • Referenced in 4 articles [sw08731]
  • support detailed flood inundation modeling and loss estimation analyses required for flood risk management. This ... regional scale (102–104 km2). A systematic approach to unstructured grid partitioning (domain decomposition ... Single Process Multiple Data (SPMD) paradigm of distributed-memory parallelism is implemented so the code...
  • DiSMEC

  • Referenced in 1 article [sw30154]
  • present DiSMEC, which is a large-scale distributed framework for learning one-versus-rest linear ... approaches, including - SLEEC which is a leading approach for learning sparse local embeddings, and FastXML ... which is a tree-based approach optimizing ranking based loss function. On some...
  • TernGrad

  • Referenced in 1 article [sw22206]
  • gradients to accelerate distributed deep learning in data parallelism. Our approach requires only three numerical ... AlexNet does not incur any accuracy loss and can even improve accuracy. The accuracy loss...
  • Gerbil

  • Referenced in 0 articles [sw16029]
  • without much loss of performance. Our software implements a two-disk approach. In the first ... reads are loaded from disk and distributed to temporary files that are stored...
  • SequentialMA

  • Referenced in 1 article [sw10526]
  • contribute to the stopping decision, the marginal distribution of any single gene is nearly independent ... values. We propose a meta-analysis approach to combining the results of the interim analyses ... reduce the number of microarrays without substantial loss of power. An R-package SequentialMA implementing...
  • ANSYS

  • Referenced in 580 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • BARON

  • Referenced in 269 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • EVIM

  • Referenced in 9 articles [sw00255]
  • EVIM: a software package for extremel value analysis...
  • Gmsh

  • Referenced in 376 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • LAPACK

  • Referenced in 1510 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LEDA

  • Referenced in 244 articles [sw00509]
  • In the core computer science areas -- data structures...
  • LSQR

  • Referenced in 305 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • Maple

  • Referenced in 4718 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 5224 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 10505 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NAG

  • Referenced in 340 articles [sw00610]
  • Produced by experts for use in a variety...
  • R

  • Referenced in 6593 articles [sw00771]
  • R is a language and environment for statistical...