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Regularization
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#	Item
201	Compression of Propositional Resolution Proofs via Partial Regularization? Pascal Fontaine, Stephan Merz, and Bruno Woltzenlogel Paleo University of Nancy and INRIA, Nancy, France {Pascal.Fontaine,Stephan.Merz,Bruno.Wolt Add to Reading List Source URL: www.loria.fr Language: English - Date: 2011-07-11 06:39:50 Mathematical logic Resolution Unit propagation Entailment Logic Automated theorem proving Rules of inference
202	Determination of Cloud Liquid Water Distribution with 3D Cloud Tomography Dong Huang, Yangang Liu, and Warren Wiscombe Tomography is a technique for imaging an object’s interior from its projections Warner et al. propo Add to Reading List Source URL: www.arm.gov Language: English - Date: 2007-03-22 10:18:49 Medical imaging Mathematical analysis Microwave radiometer Inverse problem Cosmic microwave background radiation Well-posed problem Regularization Microwave Tomography Electromagnetic radiation Radiometry Technology
203	Learning Accurate Kinematic Control of Cable-Driven Surgical Robots Using Data Cleaning and Gaussian Process Regression Jeffrey Mahler1 , Sanjay Krishnan1 , Michael Laskey1 , Siddarth Sen1 , Adithyavairavan Murali1 , Ben Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2014-04-26 02:12:36 Data analysis Machine learning Robot control Linear regression Kinematics Errors and residuals in statistics Regularization Robotics Robot Statistics Regression analysis Econometrics
204	Adaptive Regularization in Neural Network Filters CourseAdvanced Digital Signal Processing June 20th, 2002 Add to Reading List Source URL: www.logicnet.dk Language: English - Date: 2005-08-22 12:04:43 Applied mathematics Artificial neural network Backpropagation Gauss–Newton algorithm Levenberg–Marquardt algorithm Mathematical optimization Perceptron Radial basis function network Neural networks Statistics Cybernetics
205	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 5: Prediction with Near Infrared (NIR) Data in CORExpress® Dataset for running CCR Linear Regression (CCR.lm) This t Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2012-01-06 07:31:30 Econometrics Statistical inference Cross-validation Model selection Partial least squares regression Linear regression SPSS Regularization Overfitting Statistics Regression analysis Machine learning
206	DESPOT: Online POMDP Planning with Regularization Adhiraj Somani Nan Ye David Hsu Wee Sun Lee Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-02-06 02:22:24 Stochastic control Control theory Partially observable Markov decision process R-tree B-tree Tree traversal Markov decision process Statistics Dynamic programming Markov processes
207	arXiv:1108.5997v1 [physics.gen-ph] 30 AugThe Zeta Function Approach for Casimir Energy Calculations in Higher Dimensions R. K. Obousy∗ Casimir Energy Research Group, Icarus Interstellar Inc., Add to Reading List Source URL: lanl.arxiv.org Language: English - Date: 2011-08-31 00:36:42 Meromorphic functions Analytic number theory String theory Riemann zeta function Zeta function regularization Orbifold Casimir effect Supergravity Gamma function Mathematical analysis Physics Quantum field theory
208	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 3: Correlated Component Regression for a Dichotomous Dependent Variable Overview In regression analyses involving a di Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-09-21 09:38:48 Cross-validation Linear discriminant analysis Logistic regression Degrees of freedom Standardized coefficient Regularization Nonparametric regression Unit-weighted regression Statistics Regression analysis Machine learning
209	Learning Evolving and Emerging Topics in Social Media: A Dynamic NMF approach with Temporal Regularization Ankan Saha∗ Vikas Sindhwani Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2012-01-12 12:52:28 Statistical natural language processing Linear algebra Matrix theory Multivariate statistics Numerical linear algebra Non-negative matrix factorization Online NMF Topic model Dynamic topic model Algebra Mathematics Statistics
210	Fast Sparse Regression and Classification Jerome H. Friedman Stanford University Keywords: Regression, classification, regularization, sparsity, variable selection, bridge–regression, lasso, Add to Reading List Source URL: math.agrocampus-ouest.fr Language: English - Date: 2011-12-19 09:49:53 Mathematical optimization Econometrics Regularization Elastic net regularization Statistics Regression analysis Machine learning

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