• SPINE-D

  • Referenced in 2 articles [sw16912]
  • based prediction, and the lowest mean square error in predicting disorder contents of proteins...
  • BootErrorLossReserveHGLM

  • Referenced in 1 article [sw31407]
  • Bootstrap mean squared error of prediction in loss reserving. The prediction of total loss reserve ... fact that the mean squared error of prediction (MSEP) is expressed by a complex analytical...
  • forecastSNSTS

  • Referenced in 1 article [sw17778]
  • Yule-Walker estimates and empirical mean squared prediction errors for the resulting predictors. Also, functions...
  • dmariano

  • Referenced in 1 article [sw37415]
  • such as squared error, mean absolute error, or mean absolute percentage error) and then calculate ... number of measures of predictive accuracy that allow the null hypothesis of equal accuracy...
  • GURU

  • Referenced in 2 articles [sw30101]
  • numerical prediction. Usually, this result is achieved by means of standard least-squares data fitting ... interactively by means of a Graphical User Interface (GUI) to minimize the error and allows...
  • spFSR

  • Referenced in 1 article [sw32020]
  • best predictive performance using a specified error measure such as mean squared error (for regression...
  • Prodepth

  • Referenced in 0 articles [sw25085]
  • observed and predicted RD values and a root mean square error (RMSE) of 1.74, after ... suggest that residue depth could be reliably predicted solely from protein primary sequences: local sequence...
  • lrmest

  • Referenced in 1 article [sw27785]
  • estimator in a practical situation the Mean Square Error (MSE) is used. Using this package ... value of all the above estimators and Prediction Sum of Square (PRESS) values of some...
  • PyIT2FLS

  • Referenced in 1 article [sw31248]
  • paper. The second example is the prediction of the Mackey-Glass chaotic time series using ... determining system parameters while minimizing the mean square error. In the last example, an IT2FPID...
  • TEXTNN

  • Referenced in 1 article [sw37110]
  • Additionally, at each iteration, the mean-squared error for every validation is assessed ... sets, allowing a quantitative appraisal of the predictive power of the neural network models...
  • FEBPNN

  • Referenced in 2 articles [sw08805]
  • propagation (BP) algorithm is considered. The filtered-error BP NN (FEBPNN) algorithm is first derived ... algorithm with the filtered-X least mean square (FXLMS) algorithm and the FXBPNN algorithm ... more work is required to improve the predictability and consistency of the performance...
  • NuclearDiscrepancy

  • Referenced in 1 article [sw34692]
  • data so as to get a good predictive model with as little labeled samples ... representative sample, such as the maximum mean discrepancy (MMD) active learner. We prove that ... discrepancy in terms of the mean squared error, indicating that tighter worst case bounds...
  • FTS-SOCI

  • Referenced in 0 articles [sw30589]
  • detailed technique, tool or simulator that predicts the influence of a new teaching strategy ... real cases. For instance, the mean squared error of the group cohesion sociometric...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • ARfit is a collection of Matlab modules for...
  • CoCoA

  • Referenced in 634 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...
  • Coq

  • Referenced in 1818 articles [sw00161]
  • Coq is a formal proof management system. It...
  • C-XSC

  • Referenced in 109 articles [sw00181]
  • C-XSC. A programming environment for verified scientific...
  • Expokit

  • Referenced in 180 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • GGobi

  • Referenced in 43 articles [sw00345]
  • GGobi is an open source visualization program for...