Gauss–Newton algorithm - PDFSEARCH.IO - Document Search Engine

Gauss–Newton algorithm
Results: 29

#	Item
21	On-line Least-Squares Training For The Underdetermined Case Roger L. Schultz, [removed], Halliburton Energy Services Martin T. Hagan, [removed], Oklahoma State University Abstra Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:59 Regression analysis Least squares Matrices Mathematical optimization Estimation theory Gauss–Newton algorithm Linear least squares Jacobian matrix and determinant Mathematics Statistics Linear algebra
22	GAUSS-NEWTON APPROXIMATION TO BAYESIAN LEARNING F. Dan Foresee* and Martin T. Hagan** Lucent Technologies Oklahoma City, OK School of Electrical and Computer Engineering Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English* - Date: 2008-01-23 11:12:53 Least squares Computational neuroscience Neural networks Supervised learning Regularization Levenberg–Marquardt algorithm Overfitting Isotope lists 73-96 Perceptron Statistics Machine learning Regression analysis
23	On-line Least-Squares Training For The Underdetermined Case Roger L. Schultz, [removed], Halliburton Energy Services Martin T. Hagan, [removed], Oklahoma State University Abstra Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:59 Regression analysis Least squares Matrices Mathematical optimization Estimation theory Gauss–Newton algorithm Linear least squares Jacobian matrix and determinant Mathematics Statistics Linear algebra
24	GAUSS-NEWTON APPROXIMATION TO BAYESIAN LEARNING F. Dan Foresee* and Martin T. Hagan** Lucent Technologies Oklahoma City, OK School of Electrical and Computer Engineering Add to Reading List Source URL: hagan.okstate.edu Language: English* - Date: 2008-01-23 11:12:53 Least squares Computational neuroscience Neural networks Supervised learning Regularization Levenberg–Marquardt algorithm Overfitting Isotope lists 73-96 Perceptron Statistics Machine learning Regression analysis
25	Boomer Manual David Bourne V[removed]July 2010 Copyright © David Bourne 2010 Add to Reading List Source URL: www.boomer.org Language: English - Date: 2011-01-15 01:01:11 Mathematics Least squares Mathematical optimization Regression analysis Runge–Kutta–Fehlberg method Numerical integration Non-linear least squares Gauss–Newton algorithm Stiff equation Numerical analysis Runge–Kutta methods Mathematical analysis
26	Boomer Manual David Bourne V[removed]July 2010 Copyright © David Bourne 2010 Add to Reading List Source URL: www.boomer.org Language: English - Date: 2010-11-24 11:26:59 Mathematics Least squares Mathematical optimization Regression analysis Runge–Kutta–Fehlberg method Numerical integration Non-linear least squares Gauss–Newton algorithm Stiff equation Numerical analysis Runge–Kutta methods Mathematical analysis
27	QR Factorization and Singular Value Decomposition COS 323 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-10-13 14:56:54 Numerical linear algebra Least squares Regression analysis Matrix theory QR decomposition Linear least squares Singular value decomposition Gauss–Newton algorithm Non-linear least squares Algebra Mathematics Linear algebra
28	Fekedulegn, Mac33(4) Siurtainresearch Add to Reading List Source URL: www.metla.fi Language: English - Date: 2000-09-28 08:59:31 Nonlinear regression Linear model Logistic function Estimation theory Differential equation Least squares Gauss–Newton algorithm Statistics Regression analysis Linear regression
29	Nonlinear regression Gordon K. Smyth Volume 3, pp 1405–1411 Add to Reading List Source URL: www.statsci.org Language: English - Date: 2002-01-09 17:02:47 Nonlinear regression Non-linear least squares Linear regression Gauss–Newton algorithm Linear least squares Levenberg–Marquardt algorithm Linear model Degrees of freedom Polynomial regression Statistics Regression analysis Least squares