Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Daniel Conn"'
Publikováno v:
Journal of Statistical Software, Vol 91, Iss 1, Pp 1-25 (2019)
In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rank
Externí odkaz:
https://doaj.org/article/18a41b32d34743c4a54aecff90f7012d
Publikováno v:
mSystems, Vol 6, Iss 1 (2021)
ABSTRACT Host-associated microbes display remarkable convergence in genome repertoire resulting from selection to supplement missing host functions. Nutritional supplementation has been proposed in the verrucomicrobial endosymbiont Xiphinematobacter
Externí odkaz:
https://doaj.org/article/b8a7a616abcf4038b34ae0d959d8edfa
Autor:
Otoniel Martínez-Maza, Zuo-Feng Zhang, Roger Detels, Richard F. Ambinder, Charles R. Rinaldo, Steven Wolinsky, Jay H. Bream, Lisa P. Jacobson, Mary Sehl, Daniel Conn, Dan Widney, Larry Magpantay, Elena Vendrame, Elizabeth Crabb Breen, Shen-Chih Chang, Weiming Zhu, Shehnaz K. Hussain
Background: CXCL13 and CXCR5 are a chemokine and receptor pair whose interaction is critical for naïve B-cell trafficking and activation within germinal centers. We sought to determine whether CXCL13 levels are elevated before HIV-associated non-Hod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eff6e2c227904773816b65c1a028168
https://doi.org/10.1158/1055-9965.c.6515730
https://doi.org/10.1158/1055-9965.c.6515730
Autor:
Otoniel Martínez-Maza, Zuo-Feng Zhang, Roger Detels, Richard F. Ambinder, Charles R. Rinaldo, Steven Wolinsky, Jay H. Bream, Lisa P. Jacobson, Mary Sehl, Daniel Conn, Dan Widney, Larry Magpantay, Elena Vendrame, Elizabeth Crabb Breen, Shen-Chih Chang, Weiming Zhu, Shehnaz K. Hussain
PDF file - 106K, Spearman's correlation coefficients calculated for each time-window, separately in cases and controls; Association Between CXCL13 and CXCR5 tagSNPs and CXCL13 Serum Levels; Association between CXCL13 serum levels and HIV-associated n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d245714027cd9ddb9ef66ce802d2eac
https://doi.org/10.1158/1055-9965.22437111
https://doi.org/10.1158/1055-9965.22437111
Autor:
Gang Li, Daniel Conn
Publikováno v:
Scandinavian Journal of Statistics. 46:735-764
The celebrated Nadaraya-Watson kernel estimator is among the most studied method for nonparametric regression. A classical result is that its rate of convergence depends on the number of covariates and deteriorates quickly as the dimension grows, whi
Autor:
Daniel Conn
Publikováno v:
Proceedings of the 2021 AERA Annual Meeting.
Autor:
Bryce E. Haac, MD, Nathan N. O'Hara, PhD, MHA, Elliott R. Haut, MD, MPH, Theodore T. Manson, MD, Gerard P. Slobogean, MD, Robert V. O'Toole, MD, Deborah M. Stein, MD, MPH, ADAPT Investigators, Herman Johal, Richard Van Besien, Peter Z. Berger, George B. Reahl, Dimitrius Marinos, Yasmin Degani, Daniel Mascarenhas, Daniel Connelly, Thomas M. Scalea
Publikováno v:
OTA International, Vol 7, Iss 2 (2024)
Abstract. Objectives:. To determine venous thromboembolism (VTE) testing patterns in an orthopaedic trauma population and to evaluate for differences in VTE surveillance by prophylaxis regimen through a secondary analysis of the ADAPT trial. Design:.
Externí odkaz:
https://doaj.org/article/dba705a22c504c009e0b8cb213beb999
Publikováno v:
Journal of Statistical Software; Vol 91 (2019); 1-25
Journal of Statistical Software, Vol 91, Iss 1, Pp 1-25 (2019)
Journal of Statistical Software, Vol 91, Iss 1, Pp 1-25 (2019)
In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rank
Autor:
Daniel Conn
Publikováno v:
Proceedings of the 2019 AERA Annual Meeting.
Autor:
Yuchun Shao, Zihan Xia, Yiqing Ding, Bob Crocker, Scott Saunders, Xue Bai, Anthony Peyton, Daniel Conniffe, Wuliang Yin
Publikováno v:
Sensors, Vol 24, Iss 13, p 4216 (2024)
A reliable and efficient rail track defect detection system is essential for maintaining rail track integrity and avoiding safety hazards and financial losses. Eddy current (EC) testing is a non-destructive technique that can be employed for this pur
Externí odkaz:
https://doaj.org/article/168b0677b2514be2963c196defe304f8