Прокляття розмірності (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Прокляття розмірності" in Ukrainian language version.

refsWebsite

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9doi.org

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4^th place

2books.google.com

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11^th place

1google.it

215^th place

2,859^th place

1stanford.edu

179^th place

277^th place

1web.archive.org

1^st place

1elsevier.com

610^th place

819^th place

1ieee.org

652^nd place

774^th place

1oxfordjournals.org

1,389^th place

583^rd place

1archive.org

6^th place

1psu.edu

207^th place

811^th place

1lmu.de

low place

1jmlr.org

low place

archive.org (Global: 6^th place; Ukrainian: 6^th place)

Chávez, Edgar; Navarro, Gonzalo; Baeza-Yates, Ricardo; Marroquín, José Luis (2001). Searching in Metric Spaces. ACM Computing Surveys. 33 (3): 273—321. CiteSeerX 10.1.1.100.7845. doi:10.1145/502807.502808.

books.google.com (Global: 3^rd place; Ukrainian: 11^th place)

Richard Ernest Bellman; Rand Corporation (1957). Dynamic programming. Princeton University Press. ISBN 978-0-691-07951-6.,
Republished: Richard Ernest Bellman (2003). Dynamic Programming. Courier Dover Publications. ISBN 978-0-486-42809-3.
Richard Ernest Bellman (1961). Adaptive control processes: a guided tour. Princeton University Press.

doi.org (Global: 2^nd place; Ukrainian: 4^th place)

Trunk, G. V. (July 1979). A Problem of Dimensionality: A Simple Example. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-1 (3): 306—307. doi:10.1109/TPAMI.1979.4766926.
Hughes, G.F. (January 1968). On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory. 14 (1): 55—63. doi:10.1109/TIT.1968.1054102.
Beyer, K.; Goldstein, J.; Ramakrishnan, R.; Shaft, U. (1999). When is "Nearest Neighbor" Meaningful?. Proc. 7th International Conference on Database Theory - ICDT'99. LNCS. 1540: 217—235. doi:10.1007/3-540-49257-7_15. ISBN 978-3-540-65452-0.
Zimek, A.; Schubert, E.; Kriegel, H.-P. (2012). A survey on unsupervised outlier detection in high-dimensional numerical data. Statistical Analysis and Data Mining. 5 (5): 363—387. doi:10.1002/sam.11161.
Marimont, R.B.; Shapiro, M.B. (1979). Nearest Neighbour Searches and the Curse of Dimensionality. IMA J Appl Math. 24 (1): 59—70. doi:10.1093/imamat/24.1.59.
Chávez, Edgar; Navarro, Gonzalo; Baeza-Yates, Ricardo; Marroquín, José Luis (2001). Searching in Metric Spaces. ACM Computing Surveys. 33 (3): 273—321. CiteSeerX 10.1.1.100.7845. doi:10.1145/502807.502808.
Houle, M. E.; Kriegel, H. P.; Kröger, P.; Schubert, E.; Zimek, A. (2010). Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? (PDF). Scientific and Statistical Database Management. Lecture Notes in Computer Science. Т. 6187. с. 482. doi:10.1007/978-3-642-13818-8_34. ISBN 978-3-642-13817-1.
Bernecker, T.; Houle, M. E.; Kriegel, H. P.; Kröger, P.; Renz, M.; Schubert, E.; Zimek, A. (2011). Quality of Similarity Rankings in Time Series. Symposium on Spatial and Temporal Databases. Lecture Notes in Computer Science. Т. 6849. с. 422. doi:10.1007/978-3-642-22922-0_25. ISBN 978-3-642-22921-3.
Radovanović, M.; Nanopoulos, A.; Ivanović, M. (2010). On the existence of obstinate results in vector space models. 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10. с. 186. doi:10.1145/1835449.1835482. ISBN 9781450301534.

elsevier.com (Global: 610^th place; Ukrainian: 819^th place)

Koutroumbas, Sergios Theodoridis, Konstantinos (2008). Pattern Recognition - 4th Edition (англ.). Burlington. Процитовано 8 січня 2018.

google.it (Global: 215^th place; Ukrainian: 2,859^th place)

books.google.it

Richard Ernest Bellman; Rand Corporation (1957). Dynamic programming. Princeton University Press. ISBN 978-0-691-07951-6.,
Republished: Richard Ernest Bellman (2003). Dynamic Programming. Courier Dover Publications. ISBN 978-0-486-42809-3.

ieee.org (Global: 652^nd place; Ukrainian: 774^th place)

ieeexplore.ieee.org

Hughes, G.F. (January 1968). On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory. 14 (1): 55—63. doi:10.1109/TIT.1968.1054102.

jmlr.org (Global: low place; Ukrainian: low place)

Radovanović, Miloš; Nanopoulos, Alexandros; Ivanović, Mirjana (2010). Hubs in space: Popular nearest neighbors in high-dimensional data (PDF). Journal of Machine Learning Research. 11: 2487—2531.

lmu.de (Global: low place; Ukrainian: low place)

dbs.ifi.lmu.de

Houle, M. E.; Kriegel, H. P.; Kröger, P.; Schubert, E.; Zimek, A. (2010). Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? (PDF). Scientific and Statistical Database Management. Lecture Notes in Computer Science. Т. 6187. с. 482. doi:10.1007/978-3-642-13818-8_34. ISBN 978-3-642-13817-1.

oxfordjournals.org (Global: 1,389^th place; Ukrainian: 583^rd place)

imamat.oxfordjournals.org

Marimont, R.B.; Shapiro, M.B. (1979). Nearest Neighbour Searches and the Curse of Dimensionality. IMA J Appl Math. 24 (1): 59—70. doi:10.1093/imamat/24.1.59.

psu.edu (Global: 207^th place; Ukrainian: 811^th place)

citeseerx.ist.psu.edu

Chávez, Edgar; Navarro, Gonzalo; Baeza-Yates, Ricardo; Marroquín, José Luis (2001). Searching in Metric Spaces. ACM Computing Surveys. 33 (3): 273—321. CiteSeerX 10.1.1.100.7845. doi:10.1145/502807.502808.

stanford.edu (Global: 179^th place; Ukrainian: 277^th place)

statweb.stanford.edu

Donoho DL. (2000). High-dimensional data analysis: The curses and blessings of dimensionality. [Архівовано 15 квітня 2018 у Wayback Machine.] AMS Math Challenges Lecture, 1, 32 pp.

web.archive.org (Global: 1^st place; Ukrainian: 1^st place)

Donoho DL. (2000). High-dimensional data analysis: The curses and blessings of dimensionality. [Архівовано 15 квітня 2018 у Wayback Machine.] AMS Math Challenges Lecture, 1, 32 pp.

Прокляття розмірності (Ukrainian Wikipedia)

archive.org (Global: 6th place; Ukrainian: 6th place)

books.google.com (Global: 3rd place; Ukrainian: 11th place)

doi.org (Global: 2nd place; Ukrainian: 4th place)

elsevier.com (Global: 610th place; Ukrainian: 819th place)

google.it (Global: 215th place; Ukrainian: 2,859th place)