非参数模型并不是说模型中没有参数。这里的non-parametric类似单词priceless,也就是参数是非常非常非常多的!(注意:所谓“多”的标准,就是参数数目大体和样本规模差不多)
Ida, and A. Nicolas, "In the use of parametric and non-parametric algorithms for the nondestructive evaluation", Research in Nondestructive Evaluation, v. 20, pp. 71-93, 2009.L. Travassos, D.A.G. Vieira, N. Ida, A. Nicolas, In the use of parametric and non parametric algorithms for...
Aframeworkformultivariatedata-basedat-sitefloodfrequencyanalysis:EssentialityoftheconjugalapplicationofparametricandnonparametricapproachesH.Vittal ..
We structure our work by comparing the inference per- formance of parametric and non-parametric inference methods as described in Fig. 2. Methods This section outlines the different approaches taken to reconstruct GRN. Details on the software and algorithms employed can be found in Additional file...
For example, a projection-based adaptive controller is presented in Huang, Xian, Diao, Yang, and Feng (2010) while a passivity-based adaptive control for mixed quadrotor-type is proposed in Ha, Zuo, Choi and Lee (2014)). Both algorithms showed good compensations for mass uncertainty of the...
Rutkowski, L.: The real-time identification of time-varying systems by nonparametric algorithms based on the Parzen kernels. International Journal of Systems Science 16, 1123–1130 (1985) MATHRutkowski, L.: Real-time identification of time-varying systems by non-parametric algorithms based on ...
The Amazon Forecast Non-Parametric Time Series (NPTS) algorithm is a scalable, probabilistic baseline forecaster. It predicts the future value distribution of a given time series by sampling from past observations. The predictions are bounded by the obse
When the ranges of parameter values widen or the complexity of the designed objects increases, today's algorithms no longer guarantee that theparametric modelsare valid and unambiguous, and the results of modeling operations are not always predictable. ...
Answer to: Explain parametric and non-parametric pattern recognition methods. By signing up, you'll get thousands of step-by-step solutions to your...
GMDH algorithms are grouped broadly into two categories: parametric and non-parametric. COMBI and MIA fall within the former category, where the input data are either exact or possess noise of low variance (Anastasakis and Mort 2001). These algorithms model the full range of "possible input ...