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Regularized least squares
Results: 33

#	Item
21	Parallel Coordinate Descent for L1 -Regularized Loss Minimization Joseph K. Bradley † Aapo Kyrola † Danny Bickson Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-11-03 13:21:57 Mathematical optimization Statistical classification Numerical linear algebra Parallel computing Speedup Coordinate descent Least squares Compressed sensing Feature selection Statistics Numerical analysis Regression analysis
22	Magnetic Resonance in Medicine 58:497–[removed]Regularized, Fast, and Robust Analytical Q-Ball Imaging Maxime Descoteaux,1∗ Elaine Angelino,2 Shaun Fitzgibbons,2 and Rachid Deriche1 We propose a regularized, fast, Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2014-03-30 22:04:09 Magnetic resonance imaging Neuroimaging Tensors Fourier analysis Tikhonov regularization Regularization Diffusion MRI Fractional anisotropy Least squares Mathematical analysis Mathematics Imaging
23	Multiplicative Updates for L1 –Regularized Linear and Logistic Regression Fei Sha1 , Y. Albert Park2 , and Lawrence K. Saul2 1 Computer Science Division, University of California Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Mathematical optimization Regression analysis Matrix theory Statistical classification Weight Non-negative matrix factorization Least squares Degrees of freedom Support vector machine Algebra Mathematics Linear algebra
24	Sparse Representation of Cast Shadows via 1 -Regularized Least Squares Xue Mei Haibin Ling David W. Jacobs Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-07-08 16:03:54 Mathematical analysis Imaging Image processing Global illumination Computer vision Precomputed Radiance Transfer Illumination Light field Spherical harmonics 3D computer graphics Computer graphics Lighting
25	A Proximal-Gradient Homotopy Method for the `1 -Regularized Least-Squares Problem Lin Xiao Microsoft Research, 1 Microsoft Way, Redmond, WA[removed]USA Tong Zhang Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:12 Operations research Iterative methods Convex optimization Least squares Linear programming Constraint algorithm Levenberg–Marquardt algorithm Numerical analysis Mathematical optimization Applied mathematics
26	massachusetts institute of technology — computer science and artificial intelligence laboratory Fast Rates for Regularized Least-squares Algorithm Andrea Caponnetto and Ernesto De Vito AI Memo[removed] Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2005-04-27 13:42:57 Operator theory Spectral theory Linear algebra Ordinary differential equations Hilbert space Independence Spectrum Spectral theory of ordinary differential equations Symbol Mathematical analysis Mathematics Functional analysis
27	massachusetts institute of technology — computer science and artificial intelligence laboratory Empirical Effective Dimension and Optimal Rates for Regularized Least Squares Algorithm Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2006-03-07 12:42:24 Eigenvalues and eigenvectors Symbol Spectral theory of ordinary differential equations Spectrum Algebra Mathematics Spectral theory
28	massachusetts institute of technology — computer science and artificial intelligence laboratory Asymptotics of Gaussian Regularized Least-Squares Ross Lippert & Ryan Rifkin AI Memo[removed] Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2005-11-16 15:21:04 Algebra Operator theory Gaussian function Normal distribution Spectral theory Matrix exponential Spectral theory of ordinary differential equations Multivariate normal distribution Mathematical analysis Mathematics Exponentials
29	Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed] Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:07:10 Stochastic optimization Operations research Convex optimization Quantum field theory Stochastic gradient descent Stochastic approximation Least squares Regularization Subgradient method Mathematical optimization Numerical analysis Mathematical analysis
30	Journal of Machine Learning Research[removed]2596 Submitted 5/09; Revised 3/10; Published[removed]Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-10-04 16:05:00 Convex analysis Stochastic optimization Convex optimization Operations research Subgradient method Stochastic gradient descent R. Tyrrell Rockafellar Stochastic approximation Least squares Mathematical optimization Mathematical analysis Numerical analysis

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