Results 31 to 40 of about 982,398 (277)

Fecal source identification using random forest

Microbiome, 2018
Background Clostridiales and Bacteroidales are uniquely adapted to the gut environment and have co-evolved with their hosts resulting in convergent microbiome patterns within mammalian species.
Adélaïde Roguet, A. Murat Eren, Ryan J Newton, Sandra L McLellan   +3 more
doaj   +1 more source

Predicting Epithelial Ovarian Cancer first recurrence with Random Survival Forest: Comparison Parametric, Semi-Parametric, and Random Survival Forest Methods

Journal of Biostatistics and Epidemiology, 2021
Objective: Rapid technological advances in the last century and the large amount of information have made it difficult to analyze a large number of independent variables.
Maryam Deldar, Robab Anbiaee, Kourosh Sayehmiri   +2 more
doaj   +1 more source

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, Cuiwei Liu, Zhuo Yan, Xiangbin Shi   +3 more
doaj   +1 more source

Evaluation on landslide susceptibility based on self-organizing feature map network and random forest model：A case study of Dayu County of Jiangxi Province

Zhongguo dizhi zaihai yu fangzhi xuebao, 2022
In order to further explore the influence of evaluation units and non-landslide sample selection methods on landslide susceptibility prediction, a landslide susceptibility evaluation model is established based on self-organizing feature map network and ...
Shu HE, XMSY ABUDIKEYIMU, Meng HU, Kang CHEN   +3 more
doaj   +1 more source

Visualizing Random Forest with Self-Organising Map

, 2014
Random Forest (RF) is a powerful ensemble method for classification and regression tasks. It consists of decision trees set. Although, a single tree is well interpretable for human, the ensemble of trees is a black-box model.
Płoński, Piotr, Zaremba, Krzysztof
core   +1 more source

Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors

Population Ecology, EarlyView.
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley   +1 more source

Data-driven multinomial random forest: a new random forest variant with strong consistency

Journal of Big Data
In 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

Surface water quality assessment by Random Forest

Water Practice and Technology, 2023
The energetic nature of these important water resources makes them the most vulnerable to contamination from additional waste from multiple sources.
Pramod Kumar Jena, Sayed Modinur Rahaman, Pradeep Kumar Das Mohapatra, Durga Prasad Barik, Dikshya Surabhi Patra   +4 more
doaj   +1 more source

An Adaptive Management Model for Brown Bears in Hokkaido: Based on Total Population and the Number of Nuisance Bears

Population Ecology, EarlyView.
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda, Akira Maki, Tsutomu Mano, Hifumi Tsuruga, Hino Takafumi, Shinichi Horino   +5 more
wiley   +1 more source

Random forest-based track initiation method

The Journal of Engineering, 2019
In this study, a novel method based on the random forest is presented to solve the problem of track initiation in the air-traffic-control (ATC) radar system. ATC radar is the most common civilian surveillance radar. There are dense targets with different
Shuo Liu, Hongbo Li, Yun Zhang, Bin Zou, Jian Zhao   +4 more
doaj   +1 more source