Перехресне затверджування (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Перехресне затверджування" in Ukrainian language version.

refsWebsite

Global rank Ukrainian rank

23doi.org

2^nd place

4^th place

11nih.gov

4^th place

5^th place

7archive.org

6^th place

6semanticscholar.org

11^th place

964^th place

5jstor.org

26^th place

129^th place

4arxiv.org

69^th place

188^th place

3worldcat.org

5^th place

9^th place

2psu.edu

207^th place

811^th place

2web.archive.org

1^st place

2harvard.edu

18^th place

74^th place

2wikipedia.org

low place

2ams.org

451^st place

828^th place

1stackexchange.com

1,983^rd place

2,147^th place

1jmlr.org

low place

1e2u.org.ua

low place

506^th place

1stanford.edu

179^th place

277^th place

1kuleuven.be

4,725^th place

low place

1danielsoper.com

low place

1cmu.edu

1,564^th place

2,119^th place

1victorhoornweg.com

low place

1handle.net

102^nd place

1,959^th place

1books.google.com

3^rd place

11^th place

ams.org

mathscinet.ams.org

Efron, Bradley; Tibshirani, Robert (1997). Improvements on cross-validation: The .632 + Bootstrap Method. Journal of the American Statistical Association^[en] (англ.). 92 (438): 548—560. doi:10.2307/2965703. JSTOR 2965703. MR 1467848.
Stone, Mervyn (1977). Asymptotics for and against cross-validation. Biometrika^[en] (англ.). 64 (1): 29—35. doi:10.1093/biomet/64.1.29. JSTOR 2335766. MR 0474601.

archive.org

Allen, David M (1974). The Relationship between Variable Selection and Data Agumentation and a Method for Prediction. Technometrics (англ.). 16 (1): 125—127. doi:10.2307/1267500. JSTOR 1267500.
Devijver, Pierre A.; Kittler, Josef (1982). Pattern Recognition: A Statistical Approach (англ.). London, GB: Prentice-Hall. ISBN 0-13-654236-0.
Dubitzky, Werner; Granzow, Martin; Berrar, Daniel (2007). Fundamentals of data mining in genomics and proteomics (англ.). Springer Science & Business Media. с. 178.
Kuhn, Max; Johnson, Kjell (2013). Applied Predictive Modeling (англ.). New York, NY: Springer New York. doi:10.1007/978-1-4614-6849-3. ISBN 9781461468486.
Consortium, MAQC (2010). The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology (англ.). London: Nature Publishing Group. 28 (8): 827—838. doi:10.1038/nbt.1665. PMC 3315840. PMID 20676074.
Politis, Dimitris N.; Romano, Joseph P. (1994). The Stationary Bootstrap. Journal of the American Statistical Association (англ.). 89 (428): 1303—1313. doi:10.1080/01621459.1994.10476870. hdl:10983/25607.
Picard, Richard; Cook, Dennis (1984). Cross-Validation of Regression Models. Journal of the American Statistical Association (англ.). 79 (387): 575—583. doi:10.2307/2288403. JSTOR 2288403.

arxiv.org

Trippa, Lorenzo; Waldron, Levi; Huttenhower, Curtis; Parmigiani, Giovanni (March 2015). Bayesian nonparametric cross-study validation of prediction methods. The Annals of Applied Statistics (англ.). 9 (1): 402—428. arXiv:1506.00474. Bibcode:2015arXiv150600474T. doi:10.1214/14-AOAS798. ISSN 1932-6157. S2CID 51943497.
Celisse, Alain (1 жовтня 2014). Optimal cross-validation in density estimation with the $L^{2}$-loss. The Annals of Statistics (англ.). 42 (5): 1879—1910. arXiv:0811.0802. doi:10.1214/14-AOS1240. ISSN 0090-5364. S2CID 17833620.
Arlot, Sylvain; Celisse, Alain (2010). A survey of cross-validation procedures for model selection. Statistics Surveys (англ.). 4: 40—79. arXiv:0907.4728. doi:10.1214/09-SS054. S2CID 14332192. In brief, CV consists in averaging several hold-out estimators of the risk corresponding to different data splits.
Moscovich, Amit; Rosset, Saharon (1 вересня 2022). On the Cross-Validation Bias due to Unsupervised Preprocessing. Journal of the Royal Statistical Society Series B: Statistical Methodology (англ.). 84 (4): 1474—1502. arXiv:1901.08974. doi:10.1111/rssb.12537. S2CID 215745385.

books.google.com

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome H. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (англ.). Springer. ISBN 978-0-387-84884-6.

cmu.edu

cs.cmu.edu

Cross Validation (англ.). Процитовано 11 листопада 2012.

danielsoper.com

Soper, Daniel S. (2021). Greed Is Good: Rapid Hyperparameter Optimization and Model Selection Using Greedy k-Fold Cross Validation (PDF). Electronics (англ.). 10 (16): 1973. doi:10.3390/electronics10161973.

doi.org

Piryonesi S. Madeh; El-Diraby Tamer E. (1 березня 2020). Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index. Journal of Infrastructure Systems (англ.). 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. S2CID 213782055.
Allen, David M (1974). The Relationship between Variable Selection and Data Agumentation and a Method for Prediction. Technometrics (англ.). 16 (1): 125—127. doi:10.2307/1267500. JSTOR 1267500.
Stone, M (1974). Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society, Series B (Methodological) (англ.). 36 (2): 111—147. doi:10.1111/j.2517-6161.1974.tb00994.x. S2CID 62698647.
Stone, M (1977). An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike's Criterion. Journal of the Royal Statistical Society, Series B (Methodological) (англ.). 39 (1): 44—47. doi:10.1111/j.2517-6161.1977.tb01603.x. JSTOR 2984877.
Grossman, Robert; Seni, Giovanni; Elder, John; Agarwal, Nitin; Liu, Huan (2010). Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions. Synthesis Lectures on Data Mining and Knowledge Discovery (англ.). Morgan & Claypool. 2: 1—126. doi:10.2200/S00240ED1V01Y200912DMK002.
Trippa, Lorenzo; Waldron, Levi; Huttenhower, Curtis; Parmigiani, Giovanni (March 2015). Bayesian nonparametric cross-study validation of prediction methods. The Annals of Applied Statistics (англ.). 9 (1): 402—428. arXiv:1506.00474. Bibcode:2015arXiv150600474T. doi:10.1214/14-AOAS798. ISSN 1932-6157. S2CID 51943497.
Celisse, Alain (1 жовтня 2014). Optimal cross-validation in density estimation with the $L^{2}$-loss. The Annals of Statistics (англ.). 42 (5): 1879—1910. arXiv:0811.0802. doi:10.1214/14-AOS1240. ISSN 0090-5364. S2CID 17833620.
Airola, A.; Pahikkala, T.; Waegeman, W.; De Baets, Bernard; Salakoski, T. (1 квітня 2011). An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. Computational Statistics & Data Analysis (англ.). 55 (4): 1828—1844. doi:10.1016/j.csda.2010.11.018.
Molinaro, A. M.; Simon, R.; Pfeiffer, R. M. (1 серпня 2005). Prediction error estimation: a comparison of resampling methods. Bioinformatics (англ.). 21 (15): 3301—3307. doi:10.1093/bioinformatics/bti499. ISSN 1367-4803. PMID 15905277.
Soper, Daniel S. (2021). Greed Is Good: Rapid Hyperparameter Optimization and Model Selection Using Greedy k-Fold Cross Validation (PDF). Electronics (англ.). 10 (16): 1973. doi:10.3390/electronics10161973.
Arlot, Sylvain; Celisse, Alain (2010). A survey of cross-validation procedures for model selection. Statistics Surveys (англ.). 4: 40—79. arXiv:0907.4728. doi:10.1214/09-SS054. S2CID 14332192. In brief, CV consists in averaging several hold-out estimators of the risk corresponding to different data splits.
Kuhn, Max; Johnson, Kjell (2013). Applied Predictive Modeling (англ.). New York, NY: Springer New York. doi:10.1007/978-1-4614-6849-3. ISBN 9781461468486.
Efron, Bradley; Tibshirani, Robert (1997). Improvements on cross-validation: The .632 + Bootstrap Method. Journal of the American Statistical Association^[en] (англ.). 92 (438): 548—560. doi:10.2307/2965703. JSTOR 2965703. MR 1467848.
Stone, Mervyn (1977). Asymptotics for and against cross-validation. Biometrika^[en] (англ.). 64 (1): 29—35. doi:10.1093/biomet/64.1.29. JSTOR 2335766. MR 0474601.
Consortium, MAQC (2010). The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology (англ.). London: Nature Publishing Group. 28 (8): 827—838. doi:10.1038/nbt.1665. PMC 3315840. PMID 20676074.
Bermingham, Mairead L.; Pong-Wong, Ricardo; Spiliopoulou, Athina; Hayward, Caroline; Rudan, Igor; Campbell, Harry; Wright, Alan F.; Wilson, James F.; Agakov, Felix; Navarro, Pau; Haley, Chris S. (2015). Application of high-dimensional feature selection: evaluation for genomic prediction in man. Sci. Rep. (англ.). 5: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Varma, Sudhir; Simon, Richard (2006). Bias in error estimation when using cross-validation for model selection. BMC Bioinformatics (англ.). 7: 91. doi:10.1186/1471-2105-7-91. PMC 1397873. PMID 16504092.
Moscovich, Amit; Rosset, Saharon (1 вересня 2022). On the Cross-Validation Bias due to Unsupervised Preprocessing. Journal of the Royal Statistical Society Series B: Statistical Methodology (англ.). 84 (4): 1474—1502. arXiv:1901.08974. doi:10.1111/rssb.12537. S2CID 215745385.
Bergmeir, Christopher; Benitez, Jose (2012). On the use of cross-validation for time series predictor evaluation. Information Sciences (англ.). 191: 192—213. doi:10.1016/j.ins.2011.12.028 — через Elsevier Science Direct.
Politis, Dimitris N.; Romano, Joseph P. (1994). The Stationary Bootstrap. Journal of the American Statistical Association (англ.). 89 (428): 1303—1313. doi:10.1080/01621459.1994.10476870. hdl:10983/25607.
Picard, Richard; Cook, Dennis (1984). Cross-Validation of Regression Models. Journal of the American Statistical Association (англ.). 79 (387): 575—583. doi:10.2307/2288403. JSTOR 2288403.
Willis BH, Riley RD (2017). Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice. Statistics in Medicine (англ.). 36 (21): 3283—3301. doi:10.1002/sim.7372. PMC 5575530. PMID 28620945.
Riley RD, Ahmed I, Debray TP, Willis BH, Noordzij P, Higgins JP, Deeks JJ (2015). Summarising and validating test accuracy results across multiple studies for use in clinical practice. Statistics in Medicine (англ.). 34 (13): 2081—2103. doi:10.1002/sim.6471. PMC 4973708. PMID 25800943.

e2u.org.ua

fold // Англійсько-українсько-англійський словник наукової мови (фізика та споріднені науки). Частина І англійсько-українська / уклад. О. Кочерга, Є. Мейнарович. — 2010.

handle.net

hdl.handle.net

Politis, Dimitris N.; Romano, Joseph P. (1994). The Stationary Bootstrap. Journal of the American Statistical Association (англ.). 89 (428): 1303—1313. doi:10.1080/01621459.1994.10476870. hdl:10983/25607.

harvard.edu

ui.adsabs.harvard.edu

Trippa, Lorenzo; Waldron, Levi; Huttenhower, Curtis; Parmigiani, Giovanni (March 2015). Bayesian nonparametric cross-study validation of prediction methods. The Annals of Applied Statistics (англ.). 9 (1): 402—428. arXiv:1506.00474. Bibcode:2015arXiv150600474T. doi:10.1214/14-AOAS798. ISSN 1932-6157. S2CID 51943497.
Bermingham, Mairead L.; Pong-Wong, Ricardo; Spiliopoulou, Athina; Hayward, Caroline; Rudan, Igor; Campbell, Harry; Wright, Alan F.; Wilson, James F.; Agakov, Felix; Navarro, Pau; Haley, Chris S. (2015). Application of high-dimensional feature selection: evaluation for genomic prediction in man. Sci. Rep. (англ.). 5: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.

jmlr.org

Cawley, Gavin C.; Talbot, Nicola L. C. (2010). On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation (PDF). Journal of Machine Learning Research (англ.). 11: 2079—2107.

jstor.org

Allen, David M (1974). The Relationship between Variable Selection and Data Agumentation and a Method for Prediction. Technometrics (англ.). 16 (1): 125—127. doi:10.2307/1267500. JSTOR 1267500.
Stone, M (1977). An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike's Criterion. Journal of the Royal Statistical Society, Series B (Methodological) (англ.). 39 (1): 44—47. doi:10.1111/j.2517-6161.1977.tb01603.x. JSTOR 2984877.
Efron, Bradley; Tibshirani, Robert (1997). Improvements on cross-validation: The .632 + Bootstrap Method. Journal of the American Statistical Association^[en] (англ.). 92 (438): 548—560. doi:10.2307/2965703. JSTOR 2965703. MR 1467848.
Stone, Mervyn (1977). Asymptotics for and against cross-validation. Biometrika^[en] (англ.). 64 (1): 29—35. doi:10.1093/biomet/64.1.29. JSTOR 2335766. MR 0474601.
Picard, Richard; Cook, Dennis (1984). Cross-Validation of Regression Models. Journal of the American Statistical Association (англ.). 79 (387): 575—583. doi:10.2307/2288403. JSTOR 2288403.

kuleuven.be

lirias.kuleuven.be

Vanwinckelen, Gitte (2 жовтня 2019). On Estimating Model Accuracy with Repeated Cross-Validation (англ.). с. 39—44. ISBN 9789461970442.

nih.gov

pubmed.ncbi.nlm.nih.gov

Molinaro, A. M.; Simon, R.; Pfeiffer, R. M. (1 серпня 2005). Prediction error estimation: a comparison of resampling methods. Bioinformatics (англ.). 21 (15): 3301—3307. doi:10.1093/bioinformatics/bti499. ISSN 1367-4803. PMID 15905277.
Consortium, MAQC (2010). The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology (англ.). London: Nature Publishing Group. 28 (8): 827—838. doi:10.1038/nbt.1665. PMC 3315840. PMID 20676074.
Bermingham, Mairead L.; Pong-Wong, Ricardo; Spiliopoulou, Athina; Hayward, Caroline; Rudan, Igor; Campbell, Harry; Wright, Alan F.; Wilson, James F.; Agakov, Felix; Navarro, Pau; Haley, Chris S. (2015). Application of high-dimensional feature selection: evaluation for genomic prediction in man. Sci. Rep. (англ.). 5: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Varma, Sudhir; Simon, Richard (2006). Bias in error estimation when using cross-validation for model selection. BMC Bioinformatics (англ.). 7: 91. doi:10.1186/1471-2105-7-91. PMC 1397873. PMID 16504092.
Willis BH, Riley RD (2017). Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice. Statistics in Medicine (англ.). 36 (21): 3283—3301. doi:10.1002/sim.7372. PMC 5575530. PMID 28620945.
Riley RD, Ahmed I, Debray TP, Willis BH, Noordzij P, Higgins JP, Deeks JJ (2015). Summarising and validating test accuracy results across multiple studies for use in clinical practice. Statistics in Medicine (англ.). 34 (13): 2081—2103. doi:10.1002/sim.6471. PMC 4973708. PMID 25800943.

ncbi.nlm.nih.gov

Consortium, MAQC (2010). The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology (англ.). London: Nature Publishing Group. 28 (8): 827—838. doi:10.1038/nbt.1665. PMC 3315840. PMID 20676074.
Bermingham, Mairead L.; Pong-Wong, Ricardo; Spiliopoulou, Athina; Hayward, Caroline; Rudan, Igor; Campbell, Harry; Wright, Alan F.; Wilson, James F.; Agakov, Felix; Navarro, Pau; Haley, Chris S. (2015). Application of high-dimensional feature selection: evaluation for genomic prediction in man. Sci. Rep. (англ.). 5: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Varma, Sudhir; Simon, Richard (2006). Bias in error estimation when using cross-validation for model selection. BMC Bioinformatics (англ.). 7: 91. doi:10.1186/1471-2105-7-91. PMC 1397873. PMID 16504092.
Willis BH, Riley RD (2017). Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice. Statistics in Medicine (англ.). 36 (21): 3283—3301. doi:10.1002/sim.7372. PMC 5575530. PMID 28620945.
Riley RD, Ahmed I, Debray TP, Willis BH, Noordzij P, Higgins JP, Deeks JJ (2015). Summarising and validating test accuracy results across multiple studies for use in clinical practice. Statistics in Medicine (англ.). 34 (13): 2081—2103. doi:10.1002/sim.6471. PMC 4973708. PMID 25800943.

psu.edu

citeseerx.ist.psu.edu

Kohavi, Ron (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (англ.). San Mateo, CA: Morgan Kaufmann. 2 (12): 1137—1143. CiteSeerX 10.1.1.48.529.
Cantzler, H. Random Sample Consensus (RANSAC) (англ.). Institute for Perception, Action and Behaviour, Division of Informatics, University of Edinburgh. Архів оригіналу за 4 лютого 2023.

semanticscholar.org

api.semanticscholar.org

Piryonesi S. Madeh; El-Diraby Tamer E. (1 березня 2020). Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index. Journal of Infrastructure Systems (англ.). 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. S2CID 213782055.
Stone, M (1974). Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society, Series B (Methodological) (англ.). 36 (2): 111—147. doi:10.1111/j.2517-6161.1974.tb00994.x. S2CID 62698647.
Trippa, Lorenzo; Waldron, Levi; Huttenhower, Curtis; Parmigiani, Giovanni (March 2015). Bayesian nonparametric cross-study validation of prediction methods. The Annals of Applied Statistics (англ.). 9 (1): 402—428. arXiv:1506.00474. Bibcode:2015arXiv150600474T. doi:10.1214/14-AOAS798. ISSN 1932-6157. S2CID 51943497.
Celisse, Alain (1 жовтня 2014). Optimal cross-validation in density estimation with the $L^{2}$-loss. The Annals of Statistics (англ.). 42 (5): 1879—1910. arXiv:0811.0802. doi:10.1214/14-AOS1240. ISSN 0090-5364. S2CID 17833620.
Arlot, Sylvain; Celisse, Alain (2010). A survey of cross-validation procedures for model selection. Statistics Surveys (англ.). 4: 40—79. arXiv:0907.4728. doi:10.1214/09-SS054. S2CID 14332192. In brief, CV consists in averaging several hold-out estimators of the risk corresponding to different data splits.
Moscovich, Amit; Rosset, Saharon (1 вересня 2022). On the Cross-Validation Bias due to Unsupervised Preprocessing. Journal of the Royal Statistical Society Series B: Statistical Methodology (англ.). 84 (4): 1474—1502. arXiv:1901.08974. doi:10.1111/rssb.12537. S2CID 215745385.

stackexchange.com

stats.stackexchange.com

Galkin, Alexander (28 листопада 2011). What is the difference between test set and validation set? (англ.). Процитовано 10 жовтня 2018.

stanford.edu

web.stanford.edu

Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition. web.stanford.edu (англ.). Процитовано 4 квітня 2019.

victorhoornweg.com

Hoornweg, Victor (2018). Science: Under Submission (англ.). Hoornweg Press. ISBN 978-90-829188-0-9.

web.archive.org

Newbie question: Confused about train, validation and test data! (англ.). Архів оригіналу за 14 березня 2015. Процитовано 14 листопада 2013.{{cite web}}: Обслуговування CS1: bot: Сторінки з посиланнями на джерела, де статус оригінального URL невідомий (посилання)
Cantzler, H. Random Sample Consensus (RANSAC) (англ.). Institute for Perception, Action and Behaviour, Division of Informatics, University of Edinburgh. Архів оригіналу за 4 лютого 2023.

wikipedia.org

en.wikipedia.org

Efron, Bradley; Tibshirani, Robert (1997). Improvements on cross-validation: The .632 + Bootstrap Method. Journal of the American Statistical Association^[en] (англ.). 92 (438): 548—560. doi:10.2307/2965703. JSTOR 2965703. MR 1467848.
Stone, Mervyn (1977). Asymptotics for and against cross-validation. Biometrika^[en] (англ.). 64 (1): 29—35. doi:10.1093/biomet/64.1.29. JSTOR 2335766. MR 0474601.

worldcat.org

search.worldcat.org

Trippa, Lorenzo; Waldron, Levi; Huttenhower, Curtis; Parmigiani, Giovanni (March 2015). Bayesian nonparametric cross-study validation of prediction methods. The Annals of Applied Statistics (англ.). 9 (1): 402—428. arXiv:1506.00474. Bibcode:2015arXiv150600474T. doi:10.1214/14-AOAS798. ISSN 1932-6157. S2CID 51943497.
Celisse, Alain (1 жовтня 2014). Optimal cross-validation in density estimation with the $L^{2}$-loss. The Annals of Statistics (англ.). 42 (5): 1879—1910. arXiv:0811.0802. doi:10.1214/14-AOS1240. ISSN 0090-5364. S2CID 17833620.
Molinaro, A. M.; Simon, R.; Pfeiffer, R. M. (1 серпня 2005). Prediction error estimation: a comparison of resampling methods. Bioinformatics (англ.). 21 (15): 3301—3307. doi:10.1093/bioinformatics/bti499. ISSN 1367-4803. PMID 15905277.