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Regularization
Results: 577

#	Item
381	Predicting a Scientific Community’s Response to an Article Dani Yogatama Michael Heilman Brendan O’Connor Chris Dyer School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-04-03 14:20:26 Machine learning Actuarial science Statistical models Linear regression Logistic regression Cross-validation Regularization Forecasting Least squares Statistics Regression analysis Econometrics
382	Group symmetry and covariance regularization Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:38 Linear algebra Matrices Data analysis Covariance and correlation Probability theory Covariance Multivariate normal distribution Matrix Symmetry Algebra Statistics Mathematics
383	UNDERSERVED COMMUNITIES RESEARCH NON-STATUS POPULATIONS (INCLUDING EMERGING GRADATIONS) This tool-kit was made possible by the generosity of Add to Reading List Source URL: www.fcjrefugeecentre.org Language: English - Date: 2014-02-05 17:43:07 International law Punishments International relations Human migration Demography Refugee Immigration detention Regularization Deportation Forced migration Right of asylum Law
384	Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed]USA Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-07-16 02:05:44 Computational linguistics Econometrics Bitext word alignment Machine translation Estimation theory Conditional random field Semi-supervised learning Named-entity recognition Expectation–maximization algorithm Statistics Machine learning Science
385	arXiv:1307.1493v2 [stat.ML] 1 Nov[removed]Dropout Training as Adaptive Regularization Stefan Wager∗ , Sida Wang† , and Percy Liang† Departments of Statistics∗ and Computer Science† Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:42 Estimation theory Econometrics Actuarial science Supervised learning Regularization Linear regression Pattern recognition Logistic regression Tikhonov regularization Statistics Regression analysis Machine learning
386	Journal of Machine Learning Research[removed]660 Submitted 8/09; Published 2/10 Why Does Unsupervised Pre-training Help Deep Learning? Dumitru Erhan∗ Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-04 11:03:28 Neural networks Learning Computational neuroscience Computational linguistics Unsupervised learning Semi-supervised learning Supervised learning Linear classifier Regularization Machine learning Statistics Artificial intelligence
387	Robust Logistic Regression using Shift Parameters Julie Tibshirani and Christopher D. Manning Stanford University Stanford, CA 94305, USA {jtibs, manning}@cs.stanford.edu Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-07-05 20:23:13 Econometrics Data analysis Robust statistics Linear regression Logistic regression Regularization Supervised learning Cross-validation Regression Statistics Machine learning Regression analysis
388	Context-aware Learning for Sentence-level Sentiment Analysis with Posterior Regularization Bishan Yang Department of Computer Science Cornell University [removed] Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2014-12-10 02:12:42 Science Computational linguistics Artificial intelligence Sentiment analysis Interpretation Information extraction Word-sense disambiguation Coreference Focus Linguistics Natural language processing Semantics
389	Bayesian robot system identification with input and output noise Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-09-26 14:10:24 Least squares Errors-in-variables models Nonlinear regression Bayesian linear regression Expectation–maximization algorithm Tikhonov regularization Ordinary least squares Total least squares Regularization Statistics Regression analysis Linear regression
390	Bayesian Doubly Adaptive Elastic-Net Lasso For VAR Shrinkage Deborah Gefang∗ Department of Economics University of Lancaster email: [removed] Add to Reading List Source URL: www.eabcn.org Language: English - Date: 2014-07-17 06:45:28 Econometrics Time series analysis Elastic net regularization Statistical theory Least squares Lasso Bayesian VAR Bayesian inference Bayesian probability Statistics Regression analysis Bayesian statistics

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