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172![AN ANALYSIS OF THE EXPONENTIATED GRADIENT DESCENT ALGORITHM Simon I. Hill Robert C. Williamson Telecommunications Engineering, RSISE AN ANALYSIS OF THE EXPONENTIATED GRADIENT DESCENT ALGORITHM Simon I. Hill Robert C. Williamson Telecommunications Engineering, RSISE](https://www.pdfsearch.io/img/eb9af0721258e7f8d073c246d4356241.jpg) | Add to Reading ListSource URL: users.cecs.anu.edu.auLanguage: English - Date: 2005-03-22 05:32:38
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173![Regression analysis / Operations research / Genetic algorithm / Nonlinear regression / Gradient descent / Levenberg–Marquardt algorithm / Expectation–maximization algorithm / Numerical analysis / Mathematical optimization / Applied mathematics Regression analysis / Operations research / Genetic algorithm / Nonlinear regression / Gradient descent / Levenberg–Marquardt algorithm / Expectation–maximization algorithm / Numerical analysis / Mathematical optimization / Applied mathematics](/pdf-icon.png) | Add to Reading ListSource URL: users.cecs.anu.edu.auLanguage: English - Date: 2005-03-22 04:23:22
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174![IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 50, NO. 8, AUGUST[removed]Exploiting Sparsity in Adaptive Filters Richard K. Martin, William A. Sethares, Robert C. Williamson, and C. Richard Johnson, Jr., Fellow, IEEE IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 50, NO. 8, AUGUST[removed]Exploiting Sparsity in Adaptive Filters Richard K. Martin, William A. Sethares, Robert C. Williamson, and C. Richard Johnson, Jr., Fellow, IEEE](https://www.pdfsearch.io/img/bf68398e9f9a5d3e401bf536d4c063dd.jpg) | Add to Reading ListSource URL: users.cecs.anu.edu.auLanguage: English - Date: 2005-03-16 18:13:14
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175![Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes](https://www.pdfsearch.io/img/22a0b7bed55cc500e90e5db831f2c036.jpg) | Add to Reading ListSource URL: www.jmlr.orgLanguage: English - Date: 2009-03-26 17:45:20
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176![Online Learning with Kernels Jyrki Kivinen Alex J. Smola Robert C. Williamson Research School of Information Sciences and Engineering Online Learning with Kernels Jyrki Kivinen Alex J. Smola Robert C. Williamson Research School of Information Sciences and Engineering](https://www.pdfsearch.io/img/14e02ec20ca20d7551b55ed381b11313.jpg) | Add to Reading ListSource URL: users.cecs.anu.edu.auLanguage: English - Date: 2005-03-22 08:39:23
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177![Local Minima and Attractors at In nity for Gradient Descent Learning Algorithms Kim L. Blackmore Robert C. Williamson Iven M.Y. Mareels June 21, 1995 Local Minima and Attractors at In nity for Gradient Descent Learning Algorithms Kim L. Blackmore Robert C. Williamson Iven M.Y. Mareels June 21, 1995](https://www.pdfsearch.io/img/6a5284f5d4f06640d3245376807b5e6d.jpg) | Add to Reading ListSource URL: users.cecs.anu.edu.auLanguage: English - Date: 2005-03-22 04:18:54
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178![Smoothing DCG for Learning to Rank: A Novel Approach Using Smoothed Hinge Functions Mingrui Wu, Yi Chang, Zhaohui Zheng Web Search Ranking Group, Yahoo! Labs, 701 First Avenue, Sunnyvale, CA 94089 Smoothing DCG for Learning to Rank: A Novel Approach Using Smoothed Hinge Functions Mingrui Wu, Yi Chang, Zhaohui Zheng Web Search Ranking Group, Yahoo! Labs, 701 First Avenue, Sunnyvale, CA 94089](https://www.pdfsearch.io/img/24f5534f8c8e0c791d30c4f62521f37a.jpg) | Add to Reading ListSource URL: www.yichang-cs.comLanguage: English - Date: 2009-11-16 16:19:12
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179![Notes 3 Statistical Machine Learning Empirical Risk Minimization and Optimization Instructor: Justin Domke Notes 3 Statistical Machine Learning Empirical Risk Minimization and Optimization Instructor: Justin Domke](https://www.pdfsearch.io/img/3a7bc11fdf04a2830aecef0f1007153c.jpg) | Add to Reading ListSource URL: users.cecs.anu.edu.auLanguage: English - Date: 2011-11-07 14:35:34
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180![6.867 Machine learning, lecture 13 (Jaakkola) 1 Lecture topics: • Boosting, margin, and gradient descent 6.867 Machine learning, lecture 13 (Jaakkola) 1 Lecture topics: • Boosting, margin, and gradient descent](https://www.pdfsearch.io/img/40975341ac0a62a29b29e8b0b76b1fcd.jpg) | Add to Reading ListSource URL: ocw.mit.eduLanguage: English - Date: 2015-03-15 16:36:56
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