• gss

  • Referenced in 252 articles [sw06099]
  • construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational and data analytical ... Internet on CRAN, the Comprehensive R Archive Network. The use of gss facilities is illustrated...
  • D-ADMM

  • Referenced in 16 articles [sw28440]
  • ADMM), for solving separable optimization problems in networks of interconnected nodes or agents ... ADMM is proven to converge when the network is bipartite or when all the functions ... strongly convex, although in practice, convergence is observed even when these conditions ... requirements are important, for example, in sensor networks, where sensors are typically battery-operated...
  • AIS-BN

  • Referenced in 25 articles [sw02223]
  • exact algorithms in very large Bayesian network models, have been observed to perform poorly ... sampling algorithm, AIS-BN, that shows promising convergence rates even under extreme conditions and seems ... integrals and the structural advantages of Bayesian networks, (2) a smooth learning method...
  • SSVM

  • Referenced in 58 articles [sw12678]
  • Newton-Armijo algorithm for solving the SSVM converges globally and quadratically. Numerical results and comparisons ... Musicant, IEEE Trans. Neural Networks 10, 1032-1037 (1999)] and SMO [J. Platt, in: Advances...
  • DirectLiNGAM

  • Referenced in 10 articles [sw15504]
  • without using any prior knowledge on the network structure, which is not the case with ... iterative search algorithms and may not converge to a correct solution in a finite number...
  • CoNtRol

  • Referenced in 9 articles [sw14067]
  • based framework for analysis of chemical reaction networks (CRNs). It is designed to be both ... tests for multiple equilibria, stable periodic orbits, convergence to equilibria and persistence, with the potential...
  • OPERA

  • Referenced in 29 articles [sw03200]
  • Included are routines for linear programming (LP), network programming (NP), integer programming (IP) and dynamic ... tests show that the OPERA TB solver converges as fast as commercial Fortran solvers...
  • ALEC

  • Referenced in 2 articles [sw02260]
  • performance of ALEC and artificial neural networks for function approximation problems. To evaluate the comparative ... related to convergence speed and generalization performance of four different neural network-learning algorithms. Performances...
  • SnapVX

  • Referenced in 4 articles [sw19832]
  • networks. For these problems, it provides a fast and scalable solution with guaranteed global convergence...
  • LAMG

  • Referenced in 23 articles [sw06551]
  • images, genetic data, and web pages; transportation network flows; electrical resistor circuits; and elliptic partial ... coarse-level systems. This results in fast convergence and substantial setup and memory savings...
  • Poblano

  • Referenced in 9 articles [sw04186]
  • data analysis applications (bibliometric analysis, social network analysis, chemometrics, etc.). Poblano optimizers find local minimizers ... required for all Poblano optimizers. The optimizers converge to a stationary point where the gradient...
  • DDLab

  • Referenced in 4 articles [sw07888]
  • used in research and education. These collective networks are at the core of complexity ... basins of attraction -- mathematical objects representing the convergent flow in state-space. Applications range within ... more specifically in neural and genetic networks, artificial life, and theories of memory...
  • runjags

  • Referenced in 11 articles [sw10688]
  • models for multiple chains, automated control of convergence and sample length diagnostics, evaluation ... those provided by snow (a Simple Network Of Workstations), Xgrid, or other user specified functions...
  • ConvAn

  • Referenced in 1 article [sw28065]
  • ConvAn: a convergence analyzing tool for optimization of biochemical networks. Dynamic models of biochemical networks ... optimization methods have stochastic properties and the convergence of the objective function to the global...
  • Traceband

  • Referenced in 1 article [sw00974]
  • other applications and network environments is limited by the long convergence times, accuracy errors...
  • CIRFE

  • Referenced in 1 article [sw27640]
  • interagent communication network and the sensing models, almost sure convergence of the estimate sequence...
  • FacetNet

  • Referenced in 13 articles [sw20426]
  • individuals’ roles and social status in the network as well as changes to individuals’ research ... time complexity, which is guaranteed to converge to an optimal solution. We perform extensive experimental...
  • neuralnet

  • Referenced in 3 articles [sw11052]
  • Training of neural networks. Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller ... Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package...
  • TAIMD

  • Referenced in 1 article [sw02775]
  • fairness convergence of TAIMD. Through simulations conducted using the NS-2 network simulator, performance...
  • BEGAN

  • Referenced in 2 articles [sw31829]
  • training auto-encoder based Generative Adversarial Networks. This method balances the generator and discriminator during ... training. Additionally, it provides a new approximate convergence measure, fast and stable training and high...