The top documents tagged [regularization parameter]

Neural networks Introduction Fitting neural networks Going beyond single hidden layer Brief discussion of deep learning
Documents Neural networks Introduction Fitting neural networks Going beyond single hidden layer Brief discussion of deep learning

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Feature/Model Selection by Linear Programming SVM, Combined with State-of-Art Classifiers: What Can We Learn About the Data Erinija Pranckeviciene, Ray
Documents Feature/Model Selection by Linear Programming SVM, Combined with State-of-Art Classifiers: What Can We Learn About the Data Erinija Pranckeviciene, Ray

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1 USING A PRIORI INFORMATION FOR CONSTRUCTING REGULARIZING ALGORITHMS Anatoly Yagola Department of Mathematics, Faculty of Physics, Moscow State University,
Documents 1 USING A PRIORI INFORMATION FOR CONSTRUCTING REGULARIZING ALGORITHMS Anatoly Yagola Department of Mathematics, Faculty of Physics, Moscow State University,

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Analysis of Tomographic Pumping Tests with Regularized Inversion Geoffrey C. Bohling Kansas Geological Survey SIAM Geosciences Conference Santa Fe, NM,
Documents Analysis of Tomographic Pumping Tests with Regularized Inversion Geoffrey C. Bohling Kansas Geological Survey SIAM Geosciences Conference Santa Fe, NM,

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Active Contours Technique in Retinal Image Identification of the Optic Disk Boundary Soufyane El-Allali Stephen Brown Department of Computer Science and
Documents Active Contours Technique in Retinal Image Identification of the Optic Disk Boundary Soufyane El-Allali Stephen Brown Department of Computer Science and

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Estimating parameters in inversions for regional carbon fluxes Nir Y Krakauer 1*, Tapio Schneider 1, James T Randerson 2 1. California Institute of Technology
Documents Estimating parameters in inversions for regional carbon fluxes Nir Y Krakauer 1*, Tapio Schneider 1, James T Randerson 2 1. California Institute of Technology

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Algorithmic and Statistical Perspectives on Large-Scale Data Analysis Michael W. Mahoney Stanford University Feb 2010 ( For more info, see: http:// cs.stanford.edu/people/mmahoney
Documents Algorithmic and Statistical Perspectives on Large-Scale Data Analysis Michael W. Mahoney Stanford University Feb 2010 ( For more info, see: http:// cs.stanford.edu/people/mmahoney

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Inversion of Z-Axis Tipper Electromagnetic (Z-TEM) Data The UBC Geophysical Inversion Facility Elliot Holtham and Douglas Oldenburg
Documents Inversion of Z-Axis Tipper Electromagnetic (Z-TEM) Data The UBC Geophysical Inversion Facility Elliot Holtham and Douglas Oldenburg

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Optical flow and Tracking CISC 649/849 Spring 2009 University of Delaware
Documents Optical flow and Tracking CISC 649/849 Spring 2009 University of Delaware

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(1) Risk prediction by kernels and (2) Ranking SNPs Usman Roshan
Documents (1) Risk prediction by kernels and (2) Ranking SNPs Usman Roshan

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Constrained Optimization for Validation-Guided Conditional Random Field Learning Minmin Chen ， Yixin Chen ， Michael Brent ， Aaron Tenney Washington University
Documents Constrained Optimization for Validation-Guided Conditional Random Field Learning Minmin Chen ， Yixin Chen ， Michael Brent ， Aaron Tenney Washington University

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Tests of Dispersion-Free Steering at FACET (CERN-BBA) A. Latina, J. Pfingstner, D. Schulte (CERN) E. Adli (Univ. of Oslo/SLAC) In collaboration with: F.J
Documents Tests of Dispersion-Free Steering at FACET (CERN-BBA) A. Latina, J. Pfingstner, D. Schulte (CERN) E. Adli (Univ. of Oslo/SLAC) In collaboration with: F.J

215 views