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Feature selection
Results: 571

#	Item
221	Fast and Adaptive Online Training of Feature-Rich Translation Models Spence Green, Sida Wang, Daniel Cer, and Christopher D. Manning Computer Science Department, Stanford University {spenceg,sidaw,danielcer,manning}@stan Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2013-08-07 08:12:24 Statistical classification Neural networks Dimension reduction Feature selection Model selection Perceptron Feature scaling BLEU Algorithm Statistics Machine learning Artificial intelligence
222	Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion Young-Bum Kim and Benjamin Snyder University of Wisconsin-Madison {ybkim,bsnyder}@cs.wisc.edu Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2013-06-23 22:28:25 Machine learning Linear algebra Numerical linear algebra Computational linguistics Matrix theory Singular value decomposition Feature selection Supervised learning Unsupervised learning Algebra Statistics Mathematics
223	Practical Lessons from Predicting Clicks on Ads at Facebook Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu∗, Tao Xu∗, Yanxin Shi∗, Antoine Atallah∗, Ralf Herbrich∗, Stuart Bowers, Joaquin Quiñonero Candel Add to Reading List Source URL: quinonero.net Language: English - Date: 2014-09-14 16:43:06 Ensemble learning Decision trees Statistical classification Model selection Linear classifier Gradient boosting Pay per click Feature selection Boosting Machine learning Statistics Artificial intelligence
224	Post-Selection Inference for Models that are Approximations (Work in Progress) Andreas Buja joint with the PoSI Group: Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2014-11-28 20:16:08 Model selection Akaike information criterion Feature selection Inference Psychology Statistics Science Information
225	Some Properties of Generalized Fused Lasso and Its Applications to High Dimensional Data Woncheol Jang, Johan Lim Seoul National University, Seoul, Korea, wjang, Ji Meng Loh Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Regularization Lasso Tikhonov regularization Feature selection Least-angle regression Statistics Regression analysis Elastic net regularization
226	Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression Hakim Sidahmed, Elena Prokofyeva, Matthew Blaschko To cite this version: Add to Reading List Source URL: hal.inria.fr Language: English - Date: 2015-04-07 14:47:10 Regularization Elastic net regularization Logistic regression Tikhonov regularization Stepwise regression Feature selection Multicollinearity Spurious relationship Multinomial logit Statistics Regression analysis Least squares
227	Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection Yang Feng* Columbia University, New York, NY, USA Yi Yu Fudan University, Shanghai, China yu.yi Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Cross-validation Feature selection Validation Statistics Model selection Machine learning
228	Microsoft Word - JSS_Jian_huang_27_May_2010.doc Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2010-05-17 23:50:39 Data Elastic net regularization Mnet Statistics Feature selection Brown Eyed Girls Information Regression analysis Science
229	Naive Bayes Classifier Learning with Feature Selection for Spam Detection in Social Bookmarking Chanju Kim and Kyu-Baek Hwang School of Computing, Soongsil University, Seoul, Korea , kbhwang@ssu Add to Reading List Source URL: www.kde.cs.uni-kassel.de Language: English - Date: 2008-08-25 03:47:27 Computing Spamming Bayesian statistics Statistical classification Social information processing Naive Bayes classifier Social bookmarking Supervised learning Email spam Statistics Internet Machine learning
230	arXiv:1202.0515v3 [stat.ML] 21 AugHigh-Dimensional Feature Selection by Feature-Wise Kernelized Lasso Makoto Yamada1 , Wittawat Jitkrittum2 , Leonid Sigal3 , Eric P. Xing4 , and Masashi Sugiyama2 1 Yahoo! Labs, 70 Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-02-26 18:29:12 Non-parametric statistics Dimension reduction Feature selection Model selection Kernel trick Lasso Kernel density estimation Supervised learning Least squares Statistics Regression analysis Machine learning

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