Results 91 to 100 of about 3,227,878 (310)

Conditional Variable Importance for Random Forests [PDF]

, 2008
Random forests are becoming increasingly popular in many scientific fields because they can cope with ``small n large p'' problems, complex interactions and even highly correlated predictor variables. Their variable importance measures have recently been
Augustin Thomas, Thomas Kneib, Augustin, Thomas, Achim Zeileis, Boulesteix, Anne-Laure, Thomas Augustin, Strobl Carolin, Strobl, Carolin, Zeileis, Achim, Anne-laure Boulesteix, Kneib Thomas, Carolin Strobl, Kneib, Thomas, Boulesteix Anne-Laure, Zeileis Achim   +14 more
core   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu, Jie‐Jie Li, Jing Jing, Jin‐Xi Lin, Xia Meng, Yong Jiang, Yong‐Jun Wang, Hong‐Qiu Gu   +7 more
wiley   +1 more source

A tale of two "forests": random forest machine learning AIDS tropical forest carbon mapping.

PLoS ONE, 2014
Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus).
Joseph Mascaro, Gregory P Asner, David E Knapp, Ty Kennedy-Bowdoin, Roberta E Martin, Christopher Anderson, Mark Higgins, K Dana Chadwick   +7 more
doaj   +1 more source

The Macroeconomy as a Random Forest [PDF]

SSRN Electronic Journal, 2020
SummaryI develop the macroeconomic random forest (MRF), an algorithm adapting the canonical machine learning (ML) tool, to flexibly model evolving parameters in a linear macro equation. Its main output, generalized time‐varying parameters (GTVPs), is a versatile device nesting many popular nonlinearities (threshold/switching, smooth transition, and ...
openaire   +2 more sources

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Calibrating Random Forests

2008 Seventh International Conference on Machine Learning and Applications, 2008
When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of crucial importance. However, even very accurate classifiers may output class probabilities of rather poor quality.
openaire   +4 more sources

Modern Management of Asymptomatic Carotid Stenosis: A Meta‐Analysis of CREST‐2, SPACE‐2, and ECST‐2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Recent randomized trials (CREST‐2, SPACE‐2, and ECST‐2) have compared carotid revascularization (carotid endarterectomy [CEA] or carotid artery stenting [CAS]) plus contemporary medical therapy (CMT) versus CMT alone in asymptomatic carotid stenosis.
Aasim Ali, Waqar Ahmed Cheema, Fiza Nisar, Muhammad Shamoon, Sameen Sarfaraz, Ahmad Butt, Muhammad Abdullah Ali, Armaghana Abdullah, Muhammad Asad Shabbir, Muhammad Talha, Hammad Azam, Aimen Anwaar Pannun, Usama Saleem, Anousha Tanveer, Mukesh Sharma   +14 more
wiley   +1 more source

Seed classification with random forest models

Applications in Plant Sciences
Premise To improve forest conservation monitoring, we developed a protocol to automatically count and identify the seeds of plant species with minimal resource requirements, making the process more efficient and less dependent on human operators. Methods
Josephine Elena Reek, Janneke Hille Ris Lambers, Eléonore Perret, Alana R. O. Chin   +3 more
doaj   +1 more source

Minnesota Forest Scene, Issue 26 (Fall 2021)

, 2021
1 electronic resource (PDF, 19 pages; includes color photographs fully-tagged and screen-reader complient)University of Minnesota. Department of Forest Resources. (2021). Minnesota Forest Scene, Issue 26 (Fall 2021). Retrieved from the University Digital
University of Minnesota. Department of Forest Resources
core  

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source