Pages that link to "Item:Q1776438"

The following pages link to Nonlinear system identification via direct weight optimization (Q1776438):

Displaying 34 items.

• Kernel based approaches to local nonlinear non-parametric variable selection (Q463794) (← links)
• Iterative identification of block-oriented nonlinear systems based on biconvex optimization (Q491293) (← links)
• Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction (Q608464) (← links)
• Differential constraints for bounded recursive identification with multivariate splines (Q644279) (← links)
• Projection-based Bayesian recursive estimation of ARX model with uniform innovations (Q998678) (← links)
• Adaptive hinging hyperplanes and its applications in dynamic system identification (Q1049096) (← links)
• Truncated estimation of ratio statistics with application to heavy tail distributions (Q1631209) (← links)
• Local variable selection of nonlinear nonparametric systems by first order expansion (Q1697155) (← links)
• Iterative selection of unknown weights in direct weight optimization identification (Q1718679) (← links)
• Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality (Q1737706) (← links)
• Ranking the importance of variables in nonlinear system identification (Q1737872) (← links)
• Testing if a nonlinear system is additive or not (Q1737916) (← links)
• System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
• Recursive nonlinear-system identification using latent variables (Q1797027) (← links)
• Identification of nonlinear systems using empirical data and prior knowledge -- An optimization approach (Q1914996) (← links)
• Identification of Wiener, Hammerstein, and NARX systems as Markov chains with improved estimates for their nonlinearities (Q1932733) (← links)
• On the smoothness of nonlinear system identification (Q2003795) (← links)
• An iterative state-space identification method with data correlation for MIMO systems with measurement noise (Q2155782) (← links)
• A weighted LS-SVM approach for the identification of a class of nonlinear inverse systems (Q2267115) (← links)
• Kernel-based local order estimation of nonlinear nonparametric systems (Q2342537) (← links)
• Piecewise linear solution paths with application to direct weight optimization (Q2377976) (← links)
• A flexible state-space model for learning nonlinear dynamical systems (Q2407186) (← links)
• A truncated estimation method with guaranteed accuracy (Q2434139) (← links)
• Identification of Wiener systems with binary-valued output observations (Q2456514) (← links)
• Identification of dynamic systems using piecewise-affine basis function models (Q2456525) (← links)
• Variable selection based on squared derivative averages (Q2664212) (← links)
• Guaranteed Estimation of Logarithmic Density Derivative by Dependent Observations (Q2787389) (← links)
• Non-Parametric Sequential Estimation of a Regression Function Based on Dependent Observations (Q2854352) (← links)
• New results on recursive identification of NARX systems (Q3107253) (← links)
• Variable selection in identification of a high dimensional nonlinear non-parametric system (Q3196113) (← links)
• A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm (Q3593964) (← links)
• Nonlocal Means and Optimal Weights for Noise Removal (Q4689646) (← links)
• (Q5320050) (← links)
• Nonlinear system identification in Sobolev spaces (Q6106395) (← links)