• AdaGrad

  • Referenced in 166 articles [sw22202]
  • observed in earlier iterations to perform more informative gradient-based learning. Metaphorically, the adaptation allows ... describe and analyze an apparatus for adaptively modifying the proximal function, which significantly simplifies setting ... theoretical analysis and show that adaptive subgradient methods outperform state...
  • DistDLB

  • Referenced in 11 articles [sw01957]
  • been proposed to adaptively adjust load balancing strategies based on the observation of the current ... system and application state. Our experiments with real-world cosmology simulations on production systems indicate...
  • Dirac++

  • Referenced in 18 articles [sw37208]
  • user. The latter option includes Dirac bound state wave functions. The code itself contains ... electron ion. With the help of self-adaptive numerical grids, we are able to study ... momentum space probability density distributions, various physical observables, such as the expectation values of position...
  • AIS-BN

  • Referenced in 25 articles [sw02223]
  • very large Bayesian network models, have been observed to perform poorly in evidential reasoning with ... address this problem, we propose an adaptive importance sampling algorithm, AIS-BN, that shows promising ... algorithm along with two state of the art general purpose sampling algorithms, likelihood weighting...
  • FDRSeg

  • Referenced in 19 articles [sw16730]
  • true jumps. In this way, it adapts the detection power to the number of true ... linear in the number of observations when there are many change-points. The performance ... method is examined by comparisons with some state of the art methods on both simulated...
  • KaSim

  • Referenced in 2 articles [sw29287]
  • observables. KaSim implements Danos et al’s implicit state simulation algorithm [10] which adapts Gillespie...
  • AdaPT

  • Referenced in 7 articles [sw30027]
  • analyst proposes a rejection threshold and observes partially censored (p)-values, estimates the false discovery ... proportion is below (alpha). Our procedure is adaptive in an unusually strong sense, permitting ... favourable performance of AdaPT by comparing it with state of the art methods in five...
  • DREAM

  • Referenced in 9 articles [sw24746]
  • same hypothesis given the new observations ... which summarizes, in algebraic and differential equations, state variables and fluxes, all knowledge ... MATLAB toolbox of the DiffeRential Evolution Adaptive Metropolis (DREAM) algorithm developed by Vrugt...
  • GAIN

  • Referenced in 5 articles [sw33872]
  • novel method for imputing missing data by adapting the well-known Generative Adversarial Nets ... Adversarial Imputation Nets (GAIN). The generator (G) observes some components of a real data vector ... missing components conditioned on what is actually observed, and outputs a completed vector. The discriminator ... attempts to determine which components were actually observed and which were imputed. To ensure that...
  • HMMmix

  • Referenced in 5 articles [sw13500]
  • account for a neighborhood structure between observations. The emission distributions are often supposed to belong ... that the standard EM algorithm can be adapted to infer the model parameters ... method to combine them into the hidden states is proposed. Three likelihood-based criteria...
  • SNEG

  • Referenced in 3 articles [sw12815]
  • expressing the Hamiltonian, the observables, and the basis states is the language of the second ... from solid-state and atomic physics, the package can be easily adapted to any given...
  • WWGENPV

  • Referenced in 3 articles [sw06811]
  • single-W production, initial- and nal-state photonic radiation including pT=pL e ects ... predictions for several observables relevant for W physics; as an adaptive integrator, giving predictions...
  • FACt

  • Referenced in 1 article [sw27136]
  • easily adapted to compute different properties of TBECs --- ground state energy, overlap integral, quasi particle ... structure factor and other related experimental observables...
  • ResEntSG

  • Referenced in 2 articles [sw39447]
  • state estimation problem, an observer reconstructs the state of a dynamical system at a remote ... capacity above which an observer can be designed that observes the system without a degradation ... given system by computing an adapted metric for the system. The library is simple...
  • PISA

  • Referenced in 3 articles [sw27597]
  • makes use of densely overlapping, feature-adaptive observations for saliency measure computation. We further impose ... contrast measures in such a pixel wise adaptive manner, the detection effectiveness is significantly boosted ... accuracy and competitive runtime speed over the state-of-the-arts approaches...
  • KINSOLVER

  • Referenced in 1 article [sw00488]
  • predictions may be compared with the observed state of the system.\parThe simulator KINSOLVER solves ... methods (Euler, modified Euler, Runge-Kutta (RK), adaptive RK-Fehlberg, and LSODES). The simulator includes...
  • AdELL

  • Referenced in 1 article [sw23692]
  • based matrix format called Adaptive ELL (AdELL) to improve the state ... outperforming the state-of-the-art ensemble framework clSpMV. We could observe speedup peaks...
  • EpiChord

  • Referenced in 2 articles [sw11774]
  • node DHTs that is able to adapt naturally to a wide range of lookup workloads ... routing state maintenance strategy allows us to maintain large amounts of routing state with only ... general, EpiChord exploits the information gleaned from observing lookup traffic to improve lookup performance...
  • MixTrain

  • Referenced in 1 article [sw31370]
  • robust training process; and (2) We observe that the test accuracy and verifiable robustness often ... dynamic loss function to adaptively balance them for each epoch. We designed and implemented ... times less training time than state-of-the-art verifiably robust training and adversarially robust...
  • GigaMesh

  • Referenced in 1 article [sw06599]
  • space. In 3D-space the state-of-the-art systems roughly estimate integral invariants ... from image processing and pattern recognition is adapted for 3D-models. These models have millions ... performance of the algorithms are given. Finally observations about integral invariants in higher dimensions...