Cross-validation

Results: 663



#Item
271Search algorithms / Cross-validation / Model selection / K-nearest neighbor algorithm / Multivariate statistics / Perceptron / Supervised learning / Statistics / Machine learning / Statistical classification

Notes 5 Statistical Machine Learning Template Methods Instructor: Justin Domke

Add to Reading List

Source URL: users.cecs.anu.edu.au

Language: English - Date: 2011-11-07 14:35:36
272Software / Proxy servers / Computer networking / Network performance / Tor / Transmission Control Protocol / Traffic analysis / Cross-validation / Internet privacy / Computing / Internet

Website Fingerprinting in Onion Routing Based Anonymization Networks Andriy Panchenko Lukas Niessen

Add to Reading List

Source URL: freehaven.net

Language: English - Date: 2011-10-26 06:05:33
273Statistical theory / Psychometrics / Scientific method / Andrew Gelman / Statistical hypothesis testing / Cross-validation / Resampling / Sampling / John Tukey / Statistics / Statistical inference / Design of experiments

Convincing Evidence∗ Andrew Gelman† Keith O’Rourke‡ 25 June 2013

Add to Reading List

Source URL: www.stat.columbia.edu

Language: English - Date: 2014-03-11 18:06:30
274Partial least squares regression / Linear regression / Multivariate normal distribution / Cross-validation / Principal component analysis / Ordinary least squares / Linear discriminant analysis / Least squares / Calibration / Statistics / Regression analysis / Chemometrics

JOURNAL OF CHEMOMETRICS J. Chemometrics 2005; 19: 107–118 Published online 22 September 2005 in Wiley InterScience (www.interscience.wiley.com). DOI: cem.915 The prediction error in CLS and PLS: the importance

Add to Reading List

Source URL: www.wisdom.weizmann.ac.il

Language: English - Date: 2006-02-15 15:59:38
275Machine learning / Regression analysis / Business intelligence / Artificial neural network / Hydrological modelling / Linear regression / Training set / Cross-validation / Hydrology / Statistics / Econometrics / Computational neuroscience

Hydrol. Earth Syst. Sci., 14, 1931–1941, 2010 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and

Add to Reading List

Source URL: www.hydrol-earth-syst-sci.net

Language: English - Date: 2014-12-04 02:42:08
276Self-organizing map / Cross-validation / Cluster analysis / Big Five personality traits / Statistics / Machine learning / Dimension reduction

Supplement of Biogeosciences, 11, 3279–3297, 2014 http://www.biogeosciences.netdoi:bgsupplement © Author(sCC Attribution 3.0 License. Supplement of

Add to Reading List

Source URL: www.biogeosciences.net

Language: English - Date: 2014-12-03 15:40:35
277Learning / Ensemble learning / Dimension reduction / Feature selection / Random forest / Statistical classification / Cross-validation / Statistics / Machine learning / Model selection

RF + RLSC Kari Torkkola Eugene Tuv

Add to Reading List

Source URL: clopinet.com

Language: English - Date: 2003-12-15 18:03:14
278Statistical inference / Econometrics / Statistical methods / Cross-validation / Bootstrapping / K-nearest neighbor algorithm / Nonparametric regression / Statistics / Machine learning / Regression analysis

SPM Users Guide RandomForests Modeling Basics This guide provides an introduction into RandomForests Modeling Basics. Title: RandomForests Modeling Basics Short Description: This guide provides an introduction into Rando

Add to Reading List

Source URL: media.salford-systems.com

Language: English - Date: 2013-08-07 00:04:46
279Cement / Masonry / Evaporite / Gypsum / Chemometrics / Infrared spectroscopy / Calcium sulfate / Fourier transform infrared spectroscopy / Cross-validation / Chemistry / Concrete / Building materials

DETERMINING GYPSUM SOIL CONDITIONER PURITY BY MIDINFRARED – QUICK, ECONOMICAL, INFORMATIVE Adrian Beech1, Sean Forrester1 and Les Janik2 1 CSIRO Land and Water, Waite Road Urrbrae, PB 2 Glen Osmond South Australia 5064

Add to Reading List

Source URL: www.clw.csiro.au

Language: English - Date: 2013-08-27 23:58:12
280Machine learning / Statistical classification / Support vector machines / GPGPU / Video cards / K-nearest neighbor algorithm / Sequential minimal optimization / Thread / Linux kernel / Statistics / Computing / Computer architecture

MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs Zeyi Wen # , Rui Zhang # , Kotagiri Ramamohanarao # , Jianzhong Qi # , Kerry Taylor ∗ # #

Add to Reading List

Source URL: people.eng.unimelb.edu.au

Language: English - Date: 2014-10-30 01:13:21
UPDATE