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

TurboEELS
 Referenced in 2 articles
[sw19956]
 approach to linearized timedependent densityfunctional theory, designed to simulate electron energy loss ... periodic solids. turboEELS is opensource 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 distributedmemory parallelism is implemented so the code...

DiSMEC
 Referenced in 1 article
[sw30154]
 present DiSMEC, which is a largescale distributed framework for learning oneversusrest linear ... approaches, including  SLEEC which is a leading approach for learning sparse local embeddings, and FastXML ... which is a treebased 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 twodisk 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 metaanalysis approach to combining the results of the interim analyses ... reduce the number of microarrays without substantial loss of power. An Rpackage 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 highlevel 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...