• abcrf

  • Referenced in 19 articles [sw21308]
  • bypassing the derivation of the associated tolerance level. The approach relies on the random forest ... Breiman (2001) applied in a (non parametric) regression setting. We advocate the derivation ... depend on any type of tolerance level, and is a good trade-off in term...
  • Forcer

  • Referenced in 26 articles [sw28330]
  • implements parametric reductions of the aforementioned class of Feynman integrals into a set of master ... program structure at the four-loop level is highly complicated and the equations easily become...
  • someKfwer

  • Referenced in 6 articles [sw06069]
  • level. p-values can arise from any linear model in a parametric or nonparametric setting...
  • Kami

  • Referenced in 4 articles [sw28644]
  • Kami: a platform for high-level parametric hardware specification and its modular verification ... integer subset of) the RISC-V instruction set...
  • Coquelicot

  • Referenced in 12 articles [sw11552]
  • process, the library comes with a comprehensive set of theorems that cover not only these ... notions, but also some extensions such as parametric integrals, two-dimensional differentiability, asymptotic behaviors ... cases: in an exam at university entry level, for the definitions and properties of Bessel...
  • MIRtoolbox

  • Referenced in 8 articles [sw07369]
  • decomposed into stages, formalized using a minimal set of elementary mechanisms. These building blocks form ... have developed -, that users can select and parametrize. This synthetic digest of feature extraction tools ... computational processes, the toolbox also includes higher-level musical feature extraction tools, whose alternative strategies...
  • PAGE

  • Referenced in 7 articles [sw23828]
  • model. Compared with GSEA, the parametric analysis of gene set enrichment (PAGE) detected a larger ... number of significantly altered gene sets and their p-values were lower than the corresponding ... permutated data set. PAGE was able to detect significantly changed gene sets from microarray data ... irrespective of different Affymetrix probe level analysis methods or different microarray platforms. Comparison...
  • SONIC

  • Referenced in 4 articles [sw10883]
  • Having been developed primarily to support the parametrically robust design of dynamic systems, SONIC ... other application areas. Since its high-level solvers can be coupled with several different basic ... nonlinear systems of equations and a set of sophisticated advancements of known techniques: optimal linear...
  • hopach

  • Referenced in 1 article [sw10465]
  • data set, while ordering and possibly collapsing clusters at each level. The algorithm uses ... Split Silhouette (MSS) criteria to identify the level of the tree with maximally homogeneous clusters ... ordered list of the elements. The non-parametric bootstrap allows one to estimate the probability...
  • Rdistance

  • Referenced in 1 article [sw28685]
  • level (transect or point) abundance estimates are available. A large suite of classical, parametric detection ... with some uncommon parametric functions (e.g., Gamma, negative exponential) and non-parametric smoothed distance functions ... multiple authors and tested in workshop settings...
  • MUSCOP

  • Referenced in 7 articles [sw06143]
  • with globalization on the basis of natural level functions. We investigate the LISA-Newton method ... stage we develop extensions for a parametric active set method (PASM) to achieve a reliable...
  • FReET

  • Referenced in 1 article [sw22080]
  • number of required simulations at an acceptable level, Latin Hypercube Sampling is utilized. The technique ... fields. Sensitivity analysis is based on non-parametric rank-order correlation coefficients. Statistical correlation ... addition of simulations to a current sample set while maintaining the desired correlation structure...
  • gamFactory

  • Referenced in 1 article [sw41465]
  • forecasting demand at the individual household level, which is more challenging than forecasting aggregate demand ... individual idiosyncrasies. In particular, we develop a set of models or “experts” which capture different ... weights are estimated on the whole data set, the main innovation being that ... weights are modelled using linear combinations of parametric, smooth or random effects. The methods...
  • L.U.St

  • Referenced in 1 article [sw29608]
  • generate a synthesis that provides a high level perspective that cannot be attained from ... species phylogenies based on genome-scale data sets. Results: Here, we present the L.U.St package ... illustrate its application using a genomic data set for the placental mammals. L.U.St allows ... approximate likelihood of a supertree, given a set of input trees, performs heuristic searches...
  • RTEHunter

  • Referenced in 0 articles [sw25376]
  • problem, different kinds of constraints can be set up over the tree. E.g. the number ... this study is to find the optimal parametrization of RTEHunter in terms of the maximum ... basic block-depth levels than in deeper ones within the same time frame. We also...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ACL2

  • Referenced in 283 articles [sw00060]
  • ACL2 is both a programming language in which...
  • AXIOM

  • Referenced in 173 articles [sw00063]
  • Axiom is a general purpose Computer Algebra system...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...