• MAIC

  • Referenced in 8 articles [sw19964]
  • statistical model for a given set of data. We can determine the best statistical model...
  • DAEPACK

  • Referenced in 17 articles [sw12958]
  • code which determines the sparsity pattern of the model for a given set of inputs ... algorithms to be applied to general FORTRAN models so that hybrid discrete/continuous dynamic simulation ... performed correctly discontinuity locking), and component for determining the analytical derivatives of the original model...
  • AETG

  • Referenced in 69 articles [sw09715]
  • test parameters. These are the parameters that determine the system’s test scenarios. Examples ... uses new combinatorial algorithms to generate test sets that cover all valid n-way parameter ... combinations. The size of an AETG test set grows logarithmically in the number of test ... parameters. This allows testers to define test models with dozens of parameters. The AETG system...
  • PIKAIA

  • Referenced in 11 articles [sw04744]
  • Stellar structure modeling using a parallel genetic algorithm for objective global optimization. Genetic algorithms ... apply basic evolutionary operators in a computational setting. We have designed a fully parallel ... determination of the globally optimal parameters for a given model against an observational data set ... hitherto puzzling discrepancy between stellar evolution models and prior asteroseismic inferences of the surface helium...
  • spatial panels

  • Referenced in 20 articles [sw30006]
  • selection framework to determine which spatial panel data model best describes the data. To demonstrate ... these routines in an empirical setting, a demand model for cigarettes is estimated based...
  • Antichains

  • Referenced in 33 articles [sw20208]
  • explicitly determinize the automaton, we keep the determinization step implicit. Our algorithm computes the least ... sets. We evaluate the performance of our algorithm experimentally using the random automaton model recently...
  • aspeed

  • Referenced in 10 articles [sw27492]
  • modeling and solving capacities of Answer Set Programming (ASP) to automatically determine more refined, that...
  • QMEAN

  • Referenced in 7 articles [sw17377]
  • since ultimately the accuracy of a model determines its usefulness for specific applications. Usually ... protein structure prediction a set of alternative models is produced, from which subsequently the most...
  • FATRAM

  • Referenced in 3 articles [sw25821]
  • have been developed for determining minimal cut sets for logic models (in particular, fault trees ... presents a new method for determining the minimal cut sets, which makes more efficient...
  • GUI-HDMR

  • Referenced in 22 articles [sw07924]
  • input-output mapping of a complex model with a large number of input parameters. Furthermore ... variance based sensitivity indices can be determined in an automatic way in order to rank ... explore the influence of parameter interactions. The set of input values can be any Monte...
  • ODRPACK

  • Referenced in 21 articles [sw00649]
  • distances from a set of observations to the curve or surface determined by the parameters ... surface fitting, and to measurement error models in statistics. ODRPACK can handle both explicit...
  • PARAFAC

  • Referenced in 22 articles [sw14789]
  • array in terms of a common set of factors with differing relative weights in each ... bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to a trilinear model (xijk ... model: if the latent factors show adequately distinct patterns of three-way variation, the model ... identified; the orientation of factors is uniquely determined by minimizing residual error, eliminating the need...
  • DIETER

  • Referenced in 4 articles [sw34957]
  • greenfield setting with high shares of renewables. The model determines cost-minimizing combinations of power...
  • BMSS

  • Referenced in 15 articles [sw13450]
  • stochastic search algorithm for linear regression models called the bounded mode stochastic search (BMSS ... dependency networks. Furthermore, we show how to determine genetic networks from genomewide data that involve ... methodology with several real-world data sets...
  • CHull

  • Referenced in 8 articles [sw20059]
  • set of models for which a measure of model (mis)fit and model complexity ... provided, CHULL determines the models that are located on the boundary of the convex hull...
  • ASP-G

  • Referenced in 2 articles [sw34356]
  • performing simulation of network models under different settings help determine the assumptions under which...
  • KinasePhos

  • Referenced in 8 articles [sw22468]
  • work, KinasePhos 1.0, incorporated profile hidden Markov model (HMM) with flanking residues of the kinase ... between the positive set of phosphorylation sites and the background set of whole protein sequences ... from Swiss-Prot are computed to determine the number of coupling patterns for training ... models. After the evaluation based on k-fold cross-validation and Jackknife cross-validation...
  • BehaviorSpace

  • Referenced in 2 articles [sw24391]
  • model’s settings and recording the results of each model run. This process is sometimes ... model’s “space” of possible behaviors and determine which combinations of settings cause the behaviors ... multiple processor cores, then by default, model runs will happen in parallel, one per core...
  • abn

  • Referenced in 2 articles [sw31036]
  • help determine optimal Bayesian network models for a given data set, where these models ... these models is equivalent to multivariate generalised linear modelling (including mixed models with iid random ... model selection process is structure discovery. The core functionality is concerned with model selection - determining ... estimate goodness of fit metrics and model parameters, and wrappers are also included...
  • CMARS

  • Referenced in 28 articles [sw08523]
  • effects of the predictors are allowed to determine the response variable. The MARS method consists ... data, but a simple model. par In this article, we use a penalized residual ... becoming an important complementary and model-based alternative to the backward stepwise algorithm. The performance ... CMARS is also evaluated using different data sets with different features, and the results...