Results 31 to 40 of about 3,398,718 (314)
Crop Yield Prediction Using Improved Random Forest [PDF]
ITM Web of Conferences, 2023 Agriculture has an important role in India’s economic development. Crop productivity is affected by the rising population and the country’s ever-changing climate. Crop yield estimation is a challenge in the farming sector.
T. Padma, Sinha Dipali
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Random Forest Algorithm for Differential Privacy Protection [PDF]
Jisuanji gongcheng, 2020 Privacy protection in data mining is one of the research hotspots in the field of information security.To address the classification problem under privacy protection requirements,this paper proposes a random forest algorithm RFDPP-Gini for differential ...
LI Yuanhang, CHEN Xianlai, LIU Li, AN Ying, LI Zhongmin
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Research on optimization of random forest algorithm based on spark
, 2022 As society has developed, increasing amounts of data have been generated by various industries. The random forest algorithm, as a classification algorithm, is widely used because of its superior performance.
Pang, C, Geng, S, Wang, S, Zhang, Z
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BarekengRandom forest algorithm allows for building better CART models. However, the disadvantage of this method is often underfitting, especially for small node sizes. Therefore, the double random forest method was developed to overcome this problem.
Arie Purwanto +2 more
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Journal of Spectroscopy, 2018 Hyperspectral datasets contain spectral noise, the presence of which adversely affects the classifier performance to generalize accurately. Despite machine learning algorithms being regarded as robust classifiers that generalize well under unfavourable ...
Na’eem Hoosen Agjee +3 more
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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 +4 more
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Archives of Medical Science, 2021 Introduction It is essential to predict the survival status of patients based on their prognosis. This can assist physicians in evaluating treatment decisions. Random forest is an excellent machine learning algorithm even without any modification.
Cheng Xu +4 more
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Random Forest Algorithm Based on Data Integration [PDF]
Jisuanji gongcheng, 2020 The historical data used for sales forecasting has the characteristics of sparseness and volatility,the traditional statistical or machine learning prediction algorithms for prediction perform poorly when the prediction cycle is long.Therefore,based on ...
XIE Kun, RONG Yutian, HU Fengping, CHEN Huan, YAO Xiaolong
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