Pages that link to "Item:Q4205381"

The following pages link to Orthogonal least squares methods and their application to non-linear system identification (Q4205381):

Displaying 50 items.

• Sparse conjugate directions pursuit with application to fixed-size kernel models (Q413891) (← links)
• Convex feasibility modeling and projection methods for sparse signal recovery (Q442713) (← links)
• Modeling the topology of a dynamical network via Wiener filtering approach (Q445916) (← links)
• Nonparametric approach to identifying NARX systems (Q469615) (← links)
• A novel sparse least squares support vector machines (Q474428) (← links)
• Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction (Q608464) (← links)
• New cyclic sparsity measures for deconvolution based on convex relaxation (Q736973) (← links)
• Modeling of electric disturbance signals using damped sinusoids via atomic decompositions and its applications (Q836633) (← links)
• Simple recursive algorithm for linear-in-the-parameters nonlinear model identification (Q848360) (← links)
• A two-stage algorithm for identification of nonlinear dynamic systems (Q856542) (← links)
• A simple and efficient method for variable ranking according to their usefulness for learning (Q1020844) (← links)
• Fuzzy adaptive control of a certain class of SISO discrete-time processes (Q1267517) (← links)
• Linear and nonlinear system identification using separable least-squares (Q1306057) (← links)
• Recovering map static nonlinearities from chaotic data using dynamical models (Q1349352) (← links)
• On-line structure detection and parameter estimation with exponential windowing for nonlinear systems (Q1352541) (← links)
• Should all the species of a food chain be counted to investigate the global dynamics? (Q1610054) (← links)
• Stability orthogonal regression for system identification (Q1645072) (← links)
• Compromise rank genetic programming for automated nonlinear design of disaster management (Q1666814) (← links)
• An alternating direction and projection algorithm for structure-enforced matrix factorization (Q1687315) (← links)
• A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit (Q1700711) (← links)
• Feedforward and feedback control performance assessment for nonlinear systems (Q1724490) (← links)
• Bayesian augmented Lagrangian algorithm for system identification (Q1729043) (← links)
• Analogy between a 10D model for nonlinear wave-wave interaction in a plasma and the 3D Lorenz dynamics (Q1866675) (← links)
• Interlocking of learning and orthonormalization in RRLSA. (Q1870695) (← links)
• Identification of models for chaotic systems from noisy data: implications for performance and nonlinear filtering (Q1893285) (← links)
• Nonlinear black-box modeling in system identification: A unified overview (Q1911270) (← links)
• A sparse third-order orthogonal frequency-domain Volterra-like model (Q1925080) (← links)
• Generalized multiscale radial basis function networks (Q1931962) (← links)
• Variable selection via RIVAL (removing irrelevant variables amidst lasso iterations) and its application to nuclear material detection (Q1937489) (← links)
• Sparse total least squares: analysis and greedy algorithms (Q1938584) (← links)
• Using radial basis function networks for function approximation and classification (Q1954367) (← links)
• Dynamic modelling of die melt temperature profile in polymer extrusion: effects of process settings, screw geometry and material (Q1994439) (← links)
• A genetic programming approach based on Lévy flight applied to nonlinear identification of a poppet valve (Q1994486) (← links)
• A modified orthogonal matching pursuit for construction of sparse probabilistic Boolean networks (Q2139749) (← links)
• A new sufficient condition for sparse recovery with multiple orthogonal least squares (Q2157863) (← links)
• Generalizing CoSaMP to signals from a union of low dimensional linear subspaces (Q2175016) (← links)
• A robust model structure selection method for small sample size and multiple datasets problems (Q2195372) (← links)
• Network flows that solve least squares for linear equations (Q2203042) (← links)
• Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization (Q2203408) (← links)
• Some greedy algorithms for sparse polynomial chaos expansions (Q2220572) (← links)
• Sparse multinomial kernel discriminant analysis (sMKDA) (Q2270800) (← links)
• Stabilizing predictive control of nonlinear ARX models (Q2275038) (← links)
• Identification of distributed-parameter systems from sparse measurements (Q2294789) (← links)
• An iterative method and its application to stable inversion (Q2318582) (← links)
• Block matching video compression based on sparse representation and dictionary learning (Q2333095) (← links)
• Alternating direction method of multipliers for solving dictionary learning models (Q2343040) (← links)
• Sparsity optimization in design of multidimensional filter networks (Q2357910) (← links)
• Significant vector learning to construct sparse kernel regression models (Q2383041) (← links)
• Forward and backward least angle regression for nonlinear system identification (Q2409414) (← links)
• Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model (Q2423989) (← links)