Results 51 to 60 of about 3,398,718 (314)
A Multi-Task Framework for Action Prediction
Information, 2020 Predicting the categories of actions in partially observed videos is a challenging task in the computer vision field. The temporal progress of an ongoing action is of great importance for action prediction, since actions can present different ...
Tianyu Yu +3 more
doaj +1 more source
Journal of Thoracic Oncology, 2011 In the article by Chen et al,1 the authors used Random Survival Forests (RSF) as part of their approach for analyzing the data. In this note, we will explain RSF in a nontechnical way; precise details of the RSF method are described in the article by Ishwaran et al.2 RSF are an adaptation of Random Forests (RF)3 designed to be used for survival data ...
openaire +2 more sources
zcwooo/Data-of-Improved-random-forest-based-on-AFSA: Data of Improved random forest based on AFSA
, 2019 <p>This repository contains all the algorithm and data used in our paper "A parametric optimization oriented, AFSA based random forest algorithm: application to detection of cervical epithelial cells"</p ...
zcwooo
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Data-driven multinomial random forest: a new random forest variant with strong consistency
Journal of Big DataIn this paper, we modify the proof methods of some previously weakly consistent variants of random forest into strongly consistent proof methods, and improve the data utilization of these variants in order to obtain better theoretical properties and ...
JunHao Chen, XueLi Wang, Fei Lei
doaj +1 more source
fru: Fast random forest implementation
SoftwareXWe introduce Fru, a Rust-based implementation of the Random Forest method for R and Python. Fru is highly optimised, offering competitive runtime and better scalability than popular implementations for these platforms.
Miron B. Kursa, Krzysztof P. Piwoński
doaj +1 more source
FEBS Letters, EarlyView.Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Multimodal random forest based tensor regression
IET Computer Vision, 2014 This study presents a method, called random forest based tensor regression, for real‐time head pose estimation using both depth and intensity data. The method builds on random forests and proposes to train and use tensor regressors at each leaf node of ...
Sertan Kaymak, Ioannis Patras
doaj +1 more source