Bootstrap aggregating

Results: 87



#Item
31Data analysis / Resampling / Bootstrapping / Bradley Efron / Statistics education / Bootstrap aggregating / Mathematics / Statistics / Statistical inference / Computational statistics

This newsletter and the Secondary Student Achievement Professional Learning and Development initiative is funded by the Ministry of Education. The providers are The University of Auckland and Te Tapuae o Rehua consortium

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Source URL: new.censusatschool.org.nz

Language: English - Date: 2013-06-17 19:30:10
32Statistics / Formal sciences / Boosting / Neural network / Statistical classification / Data mining / Bootstrap aggregating / Book:Machine Learning - The Complete Guide / Machine learning / Ensemble learning / Artificial intelligence

BENEFITS OF CREATING ENSEMBLES OF CLASSIFIERS Dean Abbott - Abbott Analytics Introduction In recent years, there has been an explosion of papers in the data mining community discussing how to combine models or model pred

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Source URL: www.abbottanalytics.com

Language: English - Date: 2010-08-10 08:15:57
33Search algorithms / Ensemble learning / Resampling / Bootstrapping / SAS / Bootstrap aggregating / Hash function / Hash table / Algorithm / Statistics / Computational statistics / Statistical inference

Much Faster Bootstraps Using SAS® John Douglas (“J.D.”) Opdyke,* DataMineIt Abstract Seven bootstrap algorithms coded in SAS® are compared. The fastest (“OPDY”), which uses no modules beyond Base SAS®, achieve

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Source URL: www.datamineit.com

Language: English - Date: 2010-11-02 10:36:52
34Computational statistics / Estimation theory / Time series analysis / Bootstrapping / Resampling / Autoregressive conditional heteroskedasticity / Normal distribution / Estimator / Bootstrap aggregating / Statistics / Statistical inference / Data analysis

PDF Document

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Source URL: www.bsp.gov.ph

Language: English - Date: 2012-06-19 05:42:36
35Statistical classification / Computational statistics / Statistical inference / AdaBoost / Boosting / Supervised learning / Naive Bayes classifier / Bootstrap aggregating / Multiclass classification / Statistics / Machine learning / Ensemble learning

Machine Learning, vv, 1–[removed]c 1998 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. An Empirical Comparison of Voting Classification

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Source URL: robotics.stanford.edu

Language: English - Date: 1998-10-19 18:24:53
36Data analysis / Bootstrapping / Resampling / Bradley Efron / Confidence interval / Bootstrap aggregating / Sampling / Auckland / Statistics / Statistical inference / Computational statistics

Microsoft PowerPoint - RoNZ.ToPrint.pptx

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Source URL: new.censusatschool.org.nz

Language: English - Date: 2012-12-04 19:51:49
37Computational statistics / Data analysis / Econometrics / Bootstrapping / Resampling / Logistic regression / Stepwise regression / Bootstrap aggregating / Macro / Statistics / Regression analysis / Statistical inference

A BOOTSTRAP APPROACH TO IDENTIFYING FACTORS AFFECTING WAITING TIME TO HEART TRANSPLANTATION

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Source URL: nhsbtmediaservices.blob.core.windows.net

Language: English - Date: 2014-10-15 04:27:48
38Fraggle Rock / Data analysis / Resampling / Bootstrapping / Doozer / Confidence interval / Bootstrap aggregating / Statistics / Statistical inference / Computational statistics

Michelle Dalrymple Use Statistical methods to make a formal inference The end of the high school journey…

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Source URL: new.censusatschool.org.nz

Language: English - Date: 2012-12-09 17:15:41
39Computational statistics / Statistical inference / Scientific method / Data analysis / SPSS / Bootstrapping / Bootstrap aggregating / IBM / Resampling / Statistics / Science / Information

i IBM SPSS Bootstrapping 20 Note: Before using this information and the product it supports, read the general information under Notices on p. 39.

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Source URL: public.dhe.ibm.com

Language: English - Date: 2011-10-14 17:41:06
40Resampling / Bootstrapping / Bootstrap aggregating / Maximum parsimony / Statistics / Statistical inference / Computational statistics

Chapter 20 Bootstrap, jackknife, and permutation tests As likelihood requires us to believe the probability model of evolution, it m ay unde restima te the amount of uncertainty abou t the tree. It would be desirable to

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Source URL: hydrodictyon.eeb.uconn.edu

Language: English - Date: 2013-10-27 15:24:17
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