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Random selection
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41	MASTER BALLOT POSITION LIST, RANDOM SELECTION, PROCEDURES In accordance with Utah Code Section 20A-6-305, Utah Lieutenant Governor Spencer J. Cox hereby establishes the Master Ballot Position List, establishes written p Add to Reading List Source URL: www.elections.utah.gov Language: English - Date: 2014-01-31 18:57:06 Retention election Government Voting systems Voting Ballot Politics Elections
42	NOTICE Pursuant to Elections Code Section 15360, the random selection of precincts for the 1°/o Manual Tally of votes for the March 17, 2015 Senate District 21 Special Primary Election will take place Wednesday, March Add to Reading List Source URL: www.lavote.net Language: English - Date: 2015-03-09 13:54:52 Norwalk California
43	SPM Users Guide Introduction to RandomForests This guide provides a brief introduction to RandomForests. Title: Introduction to RandomForests Short Description: This guide provides a brief introduction to RandomForests.. Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:40 Regression analysis Decision trees Random forest Bootstrap aggregating Decision tree Feature selection Data analysis Tree R-tree Statistics Machine learning Ensemble learning
44	Web panel surveys – can they be designed and used in a scientifically sound way? Jörgen Svensson Statistics Sweden, Örebro, SWEDEN e-mail: Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Market research Data collection Psychometrics Response rate Opinion poll Mode effect Simple random sample Selection bias Sample Statistics Sampling Survey methodology
45	4 Equal Probability of Selection Source: Frerichs, R.R. Rapid Surveys (unpublished), © 2004. NOT FOR COMMERCIAL DISTRIBUTION 4.1 Add to Reading List Source URL: www.ph.ucla.edu Language: English - Date: 2008-11-27 22:14:14 Market research Survey methodology Cluster sampling Random sample Simple random sample Sample Stratified sampling Probability distribution Standard error Statistics Sampling techniques Sampling
46	Chapter 16 Strategy Optimisation In prior chapters we have considered how to create both an underlying predictive model (such as with the Suppor Vector Machine and Random Forest Classifier) as well as a trading strategy Add to Reading List Source URL: www.quantstart.com Language: English - Date: 2015-05-18 04:58:44 Overfitting Grid search Support vector machine Test set Model selection Training set Parameter Economic model Statistics Machine learning Cross-validation
47	A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 21:22:04 Decision trees Statistics Gene expression Bioinformatics Random forest Decision tree learning DNA microarray Gene expression profiling Feature selection Biology Machine learning Microarrays
48	The NQK Model of Fitness Dynamics: Adaptation by Selective Elimination and Random Replacements Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2012-09-20 14:36:40 Philosophy of biology Biology Selection Genetic algorithms Fitness landscape Fitness Evolutionary algorithm Parameter Adaptation Evolutionary biology Population genetics Cybernetics
49	Protein Engineering vol.15 no.7 pp.619–626, 2002 Evolvability of random polypeptides through functional selection within a small library Asao Yamauchi1, Toshihiro Nakashima1,2, Add to Reading List Source URL: peds.oxfordjournals.org Language: English - Date: 2002-08-21 11:52:44 Bacteriophages Biotechnology Caudovirales Amino acid Phage display Lambda phage Monoclonal antibodies Phagemid M13 bacteriophage Biology Microbiology Molecular biology

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