• LIBSVM

  • Referenced in 1124 articles [sw04879]
  • solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed...
  • MISER3

  • Referenced in 81 articles [sw04190]
  • discrete-time optimal control problems, optimal parameter selection problems, or a combination of both, subject...
  • Sparsity

  • Referenced in 13 articles [sw08686]
  • provides a novel framework for selecting optimization parameters, such as block size, using a combination ... speedups. We describe the different optimizations and parameter selection techniques and evaluate them on several...
  • ML

  • Referenced in 81 articles [sw20907]
  • parameters allowing one to achieve a given accuracy. The optimal parabolic contour algorithm selects ... proposed approach. An application to the three parameter Mittag-Leffler function is also presented...
  • BrainWeb

  • Referenced in 36 articles [sw16790]
  • evaluation of the effect of image acquisition parameters on performance of these procedures. Validation ... data (”ground truth”). Also, optimal selection of the MR imaging parameters is difficult...
  • Pse-analysis

  • Referenced in 6 articles [sw23361]
  • procedures: (1) sample feature extraction, (2) optimal parameter selection, (3) model training, (4) cross validation...
  • SCALCG

  • Referenced in 103 articles [sw08453]
  • SCALCG – Scaled conjugate gradient algorithms for unconstrained optimization. In this work we present and analyze ... Beale–Powell. The parameter scaling the gradient is selected as spectral gradient ... consisting of 500 unconstrained optimization test problems, show that this new scaled conjugate gradient algorithm...
  • EPANET

  • Referenced in 44 articles [sw07618]
  • multiple hydraulic and water quality analyses, retrieve selected output results, and write formatted output reports ... optimization models, that require running many network analyses with modified input parameters. It can also...
  • ibr

  • Referenced in 7 articles [sw11227]
  • smoothers (without the need of selecting an optimal smoothing parameter), such as thin-plate spline...
  • SNOBFIT

  • Referenced in 20 articles [sw05289]
  • based interface; care is taken that the optimization proceeds reasonably even when the interface produces ... selection of continuous parameter settings for simulations or experiments, performed with the goal of optimizing...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • applying a sparsity-constrained steepest descent-optimization procedure. Depending on the sparsity threshold, weights ... selection). The third phase estimates the linear consequent parameters by a regularized sparsity-constrained-optimization ... force linear parameters to be 0, triggering a feature-selection mechanism per rule. Global feature...
  • PCP

  • Referenced in 3 articles [sw30033]
  • includes automated and efficient model selection (optimization of parameters) for support vector machine (SVM) classifier...
  • mlr

  • Referenced in 28 articles [sw12357]
  • classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension ... optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection...
  • QUAL2Kw

  • Referenced in 6 articles [sw07234]
  • flexibility to select any combination of parameters for the optimization and specify any appropriate function...
  • NSPSO

  • Referenced in 17 articles [sw09598]
  • appropriate selection pressure to propel the swarm population towards the Pareto-optimal front. By using ... dominated sorting concept and two parameter-free niching methods, NSPSO and its variants have shown...
  • ACGSSV

  • Referenced in 9 articles [sw20836]
  • Frobenius norm. Two variants of the parameter in the search direction are presented as those ... unconstrained optimization test problems, of different structure and complexity, we prove that selection ... scaling parameter in self-scaling memoryless BFGS update leads to algorithms which substantially outperform...
  • acebayes

  • Referenced in 12 articles [sw20243]
  • design maximising an expected utility. Finding Bayesian optimal designs for realistic problems is challenging ... found for the goals of parameter estimation, model selection and prediction...
  • PSPSO

  • Referenced in 1 article [sw39417]
  • PSPSO: A package for parameters selection using particle swarm optimization. This paper reports a high ... machine learning algorithms parameters by using the particle swarm optimization (PSO) algorithm named PSPSO ... platform for researchers to investigate their selection methods. In addition, it provides a basis...
  • pendensity

  • Referenced in 1 article [sw11720]
  • penalized B-splines with automatic selection of optimal smoothing parameter...
  • RM-MEDA

  • Referenced in 35 articles [sw08554]
  • distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with variable linkages. At each generation ... model thus built. A nondominated sorting-based selection is used for choosing solutions ... MEDA is not sensitive to algorithmic parameters, and has good scalability to the number...