Zobrazeno 1 - 9
of 9
pro vyhledávání: '"David Sergio Matusevich"'
Publikováno v:
Machine Learning. 102:483-504
Variable selection in high dimensional data is a challenging problem due to the exponential number of variable combinations, and Markov Chain Monte Carlo (MCMC) methods represent the state of the art to solve it. With genomics data this problem becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ac41acc5fb74b99954602af462e31bb
https://doi.org/10.1007/s10994-015-5534-8
https://doi.org/10.1007/s10994-015-5534-8
Publikováno v:
Data and Knowledge Engineering
Data and Knowledge Engineering, Elsevier, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Data and Knowledge Engineering, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Data and Knowledge Engineering, Elsevier, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Data and Knowledge Engineering, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Mis en ligne le 19/12/2013; International audience; In a data mining project developed on a relational database, a significant effort is required to build a data set for analysis. The main reason is that, in general, the database has a collection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38072fb816be81636dd60f7d0a1cbaa8
https://hal.archives-ouvertes.fr/hal-00940778
https://hal.archives-ouvertes.fr/hal-00940778
Publikováno v:
DTMBIO
Variable selection is a fundamental problem in Bayesian statistics whose solution requires exploring a combinatorial search space. We study the solution of variable selection with a well-known MCMC method, which requires thousands of iterations. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a050fb441ae228f1ceb9a7cabde379be
https://doi.org/10.1145/2512089.2512094
https://doi.org/10.1145/2512089.2512094
Publikováno v:
CIKM
Clustering is a fundamental problem in statistics and machine learning, whose solution is commonly computed by the Expectation-Maximization (EM) method, which finds a locally optimal solution for an objective function called log-likelihood. Since the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b69526eff44cdf73864e1fbad6c15f6
https://doi.org/10.1145/2505515.2507835
https://doi.org/10.1145/2505515.2507835
Publikováno v:
2015 International Conference on Computing Communication Control & Automation; 2015, p386-389, 4p
Publikováno v:
Machine Learning; Mar2016, Vol. 102 Issue 3, p483-504, 22p
Publikováno v:
Proceedings of the 22nd ACM International Conference Conference on Information & Knowledge Management; 10/27/2013, p1525-1528, 4p
Autor:
Wiens, Jenna, Wallace, Byron
Publikováno v:
Machine Learning; Mar2016, Vol. 102 Issue 3, p305-307, 3p
Autor:
Rakesh M. Verma, David J. Marchette
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecur