Cross-validation - PDFSEARCH.IO - Document Search Engine

Cross-validation
Results: 663

#	Item
431	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning
432	DECEMBER[removed]MERCER ET AL. 4355 Add to Reading List Source URL: www.flame.org Language: English - Date: 2010-02-25 17:48:32 Analysis of variance Statistical classification Categorical data Covariate Support vector machine Statistical power Bulk Richardson number Cross-validation Thunderstorm Statistics Meteorology Atmospheric sciences
433	S TUPID DATA MINER TRICKS: O VERFITTI NG THE S&P 500 STUPID DATA MINER TRICKS : OVERFITTING THE S&P 500 David J. Leinweber, Ph.D. Caltech Add to Reading List Source URL: nerdsonwallstreet.typepad.com Language: English - Date: 2008-10-16 20:12:42 Econometrics Cross-validation Model selection Statistical tests Data mining Linear regression Overfitting Data dredging Errors and residuals in statistics Statistics Regression analysis Machine learning
434	Package ‘quadrupen’ July 2, 2014 Type Package Title Sparsity by Worst-Case Quadratic Penalties Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:11:23 Econometrics Estimation theory Regularization Parametric statistics Elastic net regularization Cross-validation Degrees of freedom Matrix Linear regression Statistics Regression analysis Machine learning
435	VIEWPOINT www.nature.com/clinicalpractice/onc When is a genomic classifier ready for prime time? Richard Simon Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:33 Pharmaceutical industry Validity Science Cross-validation Model selection Verification and validation Statistical classification Biomarker Validation Machine learning Medicine Statistics
436	Package ‘perry’ July 2, 2014 Type Package Title Resampling-based prediction error estimation for regression models Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:00:52 Monte Carlo methods Regression analysis Data analysis Resampling Bootstrapping Cross-validation Errors and residuals in statistics Prediction Statistics Statistical inference Scientific method
437	Development and Validation of Predictive Classifiers Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:32 Cross-validation Biomarker Classifier Accuracy and precision Bootstrapping Statistics Machine learning Statistical classification
438	Package ‘ipred’ July 2, 2014 Title Improved Predictors Version[removed]Date[removed]Description Improved predictive models by indirect classification and Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:12:12 Computational statistics Statistical inference Decision trees Bootstrap aggregating Random forest Bootstrapping Leo Breiman Resampling Cross-validation Statistics Machine learning Ensemble learning
439	Discriminative Training of Hyper-feature Models for Object Identification∗ Vidit Jain1 , Andras Ferencz2 and Erik Learned-Miller1 1 University of Massachusetts Amherst, Amherst MA USA 2 MobilEye Vision Technologies, Ha Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:20 Generative model Supervised learning Linear classifier Discriminative model Mutual information Naive Bayes classifier Linear regression Regression analysis Cross-validation Statistics Machine learning Pattern recognition
440	“Can we know the risks we face, now or in the future? No, we cannot, but yes, we must act as if we do.” M. Douglas and A. Wildavsky In Risk and Culture Food for Thought … Add to Reading List Source URL: altweb.jhsph.edu Language: English Knowledge Pharmaceutical industry Validity Toxicology Causality Social vulnerability Cross-validation Verification and validation Mechanism Science Philosophy of science Ethology

UPDATE