Kamu erişimi zorunlu olan makaleler - Lucas K MentchDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 2
Multiphase segmentation for simultaneously homogeneous and textural images
DH Thai, L Mentch
Applied Mathematics and Computation 335, 146-181, 2018
Zorunlu olanlar: US National Science Foundation
Prediction of Lower Extremity Musculoskeletal Injuries for Naval Special Warfare Operators: A Machine Learning Approach: 2962 Board# 245 June 1 3: 30 PM-5: 00 PM
K Beals, KA Keenan, NJ Kissel, L Mentch, W Yang, BC Nindl, Q Mi
Medicine & Science in Sports & Exercise 50 (5S), 735, 2018
Zorunlu olanlar: US Department of Defense
Bir yerde sunuluyor: 19
Quantifying uncertainty in random forests via confidence intervals and hypothesis tests
L Mentch, G Hooker
The Journal of Machine Learning Research 17 (1), 841-881, 2016
Zorunlu olanlar: US National Science Foundation
Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance
G Hooker, L Mentch, S Zhou
Statistics and Computing 31, 1-16, 2021
Zorunlu olanlar: US National Science Foundation
Randomization as regularization: A degrees of freedom explanation for random forest success
L Mentch, S Zhou
Journal of Machine Learning Research 21 (171), 1-36, 2020
Zorunlu olanlar: US National Science Foundation
Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
M Mehrmohamadi, LK Mentch, AG Clark, JW Locasale
Nature communications 7 (1), 13666, 2016
Zorunlu olanlar: US National Institutes of Health
The importance of calibration in clinical psychology
O Lindhiem, IT Petersen, LK Mentch, EA Youngstrom
Assessment 27 (4), 840-854, 2020
Zorunlu olanlar: US National Institutes of Health
Rates of convergence for random forests via generalized U-statistics
W Peng, T Coleman, L Mentch
Electronic Journal of Statistics 16 (1), 232-292, 2022
Zorunlu olanlar: US National Science Foundation
Formal hypothesis tests for additive structure in random forests
L Mentch, G Hooker
Journal of Computational and Graphical Statistics 26 (3), 589-597, 2017
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
Scalable and efficient hypothesis testing with random forests
T Coleman, W Peng, L Mentch
Journal of Machine Learning Research 23 (170), 1-35, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction
ML Wallace, L Mentch, BJ Wheeler, AL Tapia, M Richards, S Zhou, L Yi, ...
BMC medical research methodology 23 (1), 144, 2023
Zorunlu olanlar: US National Institutes of Health
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest
S Zhou, L Mentch
Statistical Analysis and Data Mining: The ASA Data Science Journal 16 (1), 45-64, 2023
Zorunlu olanlar: US National Science Foundation
Bootstrap bias corrections for ensemble methods
G Hooker, L Mentch
Statistics and Computing 28, 77-86, 2018
Zorunlu olanlar: US National Science Foundation
Physiological sleep measures predict time to 15‐year mortality in community adults: application of a novel machine learning framework
ML Wallace, TS Coleman, LK Mentch, DJ Buysse, JL Graves, EW Hagen, ...
Journal of sleep research 30 (6), e13386, 2021
Zorunlu olanlar: US National Institutes of Health, Patient-Centered Outcomes Research Institute
V-statistics and variance estimation
Z Zhou, L Mentch, G Hooker
Journal of Machine Learning Research 22 (287), 1-48, 2021
Zorunlu olanlar: US National Science Foundation
Statistical inference on tree swallow migrations with random forests
T Coleman, L Mentch, D Fink, FA La Sorte, DW Winkler, G Hooker, ...
Journal of the Royal Statistical Society Series C: Applied Statistics 69 (4 …, 2020
Zorunlu olanlar: US National Science Foundation
Smudge noise for quality estimation of fingerprints and its validation
R Richter, C Gottschlich, L Mentch, DH Thai, SF Huckemann
IEEE Transactions on Information Forensics and Security 14 (8), 1963-1974, 2019
Zorunlu olanlar: US National Science Foundation, German Research Foundation, Volkswagen …
Getting better from worse: Augmented bagging and a cautionary tale of variable importance
L Mentch, S Zhou
Journal of Machine Learning Research 23 (224), 1-32, 2022
Zorunlu olanlar: US National Science Foundation
Comments on: A random forest guided tour
G Hooker, L Mentch
Test 25, 254-260, 2016
Zorunlu olanlar: US National Science Foundation
Forecasting hurricane‐related power outages via locally optimized random forests
T Coleman, MF Dorn, K Kaufeld, L Mentch
Stat 10 (1), e346, 2021
Zorunlu olanlar: US National Science Foundation
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