Results 111 to 120 of about 17,286,028 (305)

First-Fit Coloring of Forests in Random Arrival Model

CoRR
We consider a graph coloring algorithm that processes vertices in order taken uniformly at random and assigns colors to them using First-Fit strategy. We show that this algorithm uses, in expectation, at most $(1 + o(1))\cdot \ln n \,/\, \ln\ln n$ different colors to color any forest with $n$ vertices.
Bartlomiej Bosek, Grzegorz Gutowski, Michal Lason, Jakub Przybylo   +3 more
openaire   +6 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

Importance and contribution of variables in Random Forest (RF) model.

, 2023
Importance and contribution of variables in Random Forest (RF) model.
Haris Khurram (13945143), Madeeha Fatima (16914171), Saba Zafar (11117843), Muhammad Kamran (692905), Rehan Sadiq Shaikh (16192166), Aqsa Parvaiz (12277749)   +5 more
core   +1 more source

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

Hybrid Logistic Regression Random Forest on Predicting Student Performance

JOIV: International Journal on Informatics Visualization
The research aims to investigate the effects of unbalanced data on machine learning, overcome imbalanced data using SMOTE oversampling, and improve machine learning performance using hyperparameter tuning.
Muhammad Ghofar Rohman, Zubaile Abdullah, Shahreen Kasim, - Rasyidah   +3 more
doaj   +1 more source

Factor influence in the Random Forest Model, by model.

, 2023
A) Mean decrease in accuracy, which expresses the accuracy lost by excluding a given variable. B) Mean decrease in Gini coefficient, which is a measure of how much each variable contributes to the homogeneity of the nodes and trees in the random forest ...
Kimberly D. McCarthy (3390977), Kevin P. Cain (15572347), Kyle Milligan (15572329), Jonathan P. Smith (2952306), Susan K. Musau (15572338), Elisha Okeyo (15572335), Albert Okumu (15572341), Walter Mchembere (15572332), Rinn Song (11602303), Eleanor S. Click (15572344)   +9 more
core   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Red Wine Quality Prediction Model Based on Random Forest Algorithm [PDF]

ITM Web of Conferences
The rapid expansion of the wine industry has brought wine quality issues into sharper focus. However, at present, wine quality is mainly judged by wine tasters' subjective scores.
Zhuang Hoiyuen
doaj   +1 more source

Clinical Impact of MGMT Promoter Methylation in IDH‐Mutant Gliomas: Influence of Threshold Selection and Clinical Confounding

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang, Linxi Cao, Xiaodong Chen, Siqi Tong, Qinghui Zhu, Jun Yang, Song Lin, Yong Cui   +7 more
wiley   +1 more source

Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery

Ecological Indicators
A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained from 128 sample plots of Pinus yunnanensis forest located in Chuxiong prefecture,
Xiaoli Zhang, Hanwen Shen, Tianbao Huang, Yong Wu, Binbing Guo, Zhi Liu, Hongbin Luo, Jing Tang, Hang Zhou, Leiguang Wang, Weiheng Xu, Guanglong Ou   +11 more
doaj   +1 more source