Results 91 to 100 of about 6,745,293 (217)

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

Effect of Hyperparameter Tuning Using Random Search on Tree-Based Classification Algorithm for Software Defect Prediction

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
The field of information technology requires software, which has significant issues. Quality and reliability improvement needs damage prediction. Tree-based algorithms like Random Forest, Deep Forest, and Decision Tree offer potential in this domain ...
Muhammad Hevny Rizky, Mohammad Reza Faisal, Irwan Budiman, Dwi Kartini, Friska Abadi   +4 more
doaj   +1 more source

Ensemble random forest for tropical cyclone tracking [PDF]

Natural Hazards and Earth System Sciences
Even though tropical cyclones (TCs) are well documented during the intense part of their lifecycle until they weaken, many physical and statistical properties governing them are not well captured by gridded reanalysis or simulated by Earth System Models.
P. Vaittinada Ayar, S. Bourdin, D. Faranda, D. Faranda, D. Faranda, M. Vrac   +5 more
doaj   +1 more source

Oblique random survival forests

The Annals of Applied Statistics, 2019
We introduce and evaluate the oblique random survival forest (ORSF). The ORSF is an ensemble method for right-censored survival data that uses linear combinations of input variables to recursively partition a set of training data. Regularized Cox proportional hazard models are used to identify linear combinations of input variables in each recursive ...
Jaeger, Byron C., Long, D. Leann, Long, Dustin M., Sims, Mario, Szychowski, Jeff M., Min, Yuan-I, Mcclure, Leslie A., Howard, George, Simon, Noah   +8 more
openaire   +3 more sources

Random Prism: An Alternative to Random Forests [PDF]

, 2011
Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy. In most ensemble classifiers the base classifiers are based on the Top Down Induction of Decision Trees (TDIDT) approach.
Stahl, F., Bramer, Max
openaire   +2 more sources

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

Monocular Road Detection Using Structured Random Forest

International Journal of Advanced Robotic Systems, 2016
Road detection is a key task for autonomous land vehicles. Monocular vision-based road-detection algorithms are mostly based on machine learning approaches and are usually cast as classification problems.
Liang Xiao, Bin Dai, Daxue Liu, Dawei Zhao, Tao Wu   +4 more
doaj   +1 more source

Application of supervised machine learning and Taylor diagrams for prognostic analysis of performance and emission characteristics of biogas-powered dual-fuel diesel engine

International Journal of Renewable Energy Development
In the ongoing search for an alternative fuel for diesel engines, biogas is an attractive option. Biogas can be used in dual-fuel mode with diesel as pilot fuel.
Khac Binh Le, Minh Thai Duong, Dao Nam Cao, Van Vang Le   +3 more
doaj   +1 more source

The interaction between temperature and rainfall determines the probability of tropical forest fire occurrence in Hainan Island

Frontiers in Forests and Global Change
Severe forest fires have erupted in numerous tropical regions globally, threatening carbon storage in tropical ecosystems, the survival of plant species, and human health.
Xiaohua Chen, Xiaohua Chen, Qingqing Yang, Qingqing Yang, Zongzhu Chen, Jinrui Lei, Tingtian Wu, Yuanling Li, Xiaoyan Pan   +8 more
doaj   +1 more source

Comparison of oblique random survival forest, random survival forest, and statistical models for time-to-event data using simulation study

Scientific Reports
Time-to-event (TTE) machine learning (ML) algorithms are increasingly utilized in prognostic models, but systematic evaluation is lacking to identify their strengths and limitations.
Abubaker Suliman, Aminu S. Abdullahi, Mohammad Mehedy Masud, Mohamed Adel Serhani, Amal AlZahmi, Abderrahim Oulhaj   +5 more
doaj   +1 more source