Suchergebnisse - CART and Random tree Algorithm

Research on Impact of Children's Psychological Factors and Learning Habits on Tang Poetry Learning Based on CART Decision Tree and Random Forest Ensemble Learning Algorithm von Zhao, Wang, Ke, Zhao, Wang, Chang

“… When children learn Tang poetry, differences in their mastery level of Tang poetry (MLTP) are observed. This difference may be related to children's age, …”
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Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests von Hu, Chen, Steingrimsson, Jon Arni

“… ) algorithm, which builds a simple interpretable tree structured model. With the aim of increasing prediction accuracy, the random forest algorithm averages multiple CART trees, creating …”
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Censoring Unbiased Regression Trees and Ensembles von Steingrimsson, Jon Arni, Diao, Liqun, Strawderman, Robert L.

“… Generalizations of the classification and regression trees (CART) and random forests (RF) algorithms for general loss functions, and in the latter case more general bootstrap procedures, are both introduced …”
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Land subsidence modelling using tree-based machine learning algorithms von Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerdà, Artemi, Mohammadi, Farnoush, Tien Bui, Dieu

“… This study compares four tree-based machine learning models for land subsidence hazard modelling at a study area in Hamadan plain (Iran …”
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Comparison of decision tree algorithms for EMG signal classification using DWT von Gokgoz, Ercan, Subasi, Abdulhamit

“… •Decision tree algorithms are used for EMG signal classification.•EMG signals are de-noised using MSPCA, and decomposed into the frequency sub-bands using DWT …”
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Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed von Anmala, Jagadeesh, Turuganti, Venkateswarlu

“… Stream waters play a crucial role in catering to the world's needs with the required quality of water. Due to the discharges of wastewater from the various …”
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Fault Diagnosis Method of Photovoltaic Array Based on Random Forest Algorithm von Gong, Sizhe, Wu, Xunhao, Zhang, Ziwen

“… The random forest algorithm used in this paper is based on classification regression tree (CART). And bootstrap sampling method was used to generate multiple training …”
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Spatial performance analysis in basketball with CART, random forest and extremely randomized trees von Zuccolotto, Paola, Sandri, Marco, Manisera, Marica

“… In order to overcome CART’s drawbacks while maintaining its points of force, we propose to resort to CART-based ensemble learning algorithms, namely to Random Forest and Extremely Randomized Trees, which are shown …”
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Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa von Mondal, Pinki, Liu, Xue, Fatoyinbo Agueh, Temilola E., Lagomasino, David

“… ) to run two machine learning algorithms, random forest (RF), and classification and regression …”
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Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach von Rodrigo, Hansapani, Beukes, Eldré W, Andersson, Gerhard, Manchaiah, Vinaya

“… Background: There is huge variability in the way that individuals with tinnitus respond to interventions. These experiential variations, together with a range …”
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Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach von Mahmood, Nasir, Shahid, Saman, Bakhshi, Taimur, Riaz, Sehar, Ghufran, Hafiz, Yaqoob, Muhammad

“… Pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) technique was analyzed to determine the significance of clinical and phenotypic …”
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Exploring the integration of thermal imaging technology with the data mining algorithms for precise prediction of honey and beeswax yield von Kibar, Mustafa, Altay, Yasin, Aytekin, İbrahim

“… ‐ and accurately predicting these yields. Therefore, this study aimed to predict HY and BWY using a classification and regression tree (CART …”
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Analysis of anterior segment in primary angle closure suspect with deep learning models von Fu, Ziwei, Xi, Jinwei, Ji, Zhi, Zhang, Ruxue, Wang, Jianping, Shi, Rui, Pu, Xiaoli, Yu, Jingni, Xue, Fang, Liu, Jianrong, Wang, Yanrong, Zhong, Hua, Feng, Jun, Zhang, Min, He, Yuan

“… Then, AI-aided diagnostic system was constructed, which based different algorithms such as classification and regression tree (CART), random forest (RF …”
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A novel student achievement prediction model based on bagging‐CART machine learning algorithm von Zhang, Hong

“… C4.5, ID3, CART, J48, random forest, and others. However, few studies have explored the use of the Bagging algorithm in this field …”
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Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data von Jeantet, L, Dell'Amico, F, Forin-Wiart, M-A, Coutant, M, Bonola, M, Etienne, D, Gresser, J, Regis, S, Lecerf, N, Lefebvre, F, de Thoisy, B, Le Maho, Y, Brucker, M, Châtelain, N, Laesser, R, Crenner, F, Handrich, Y, Wilson, R, Chevallier, D

“… We identified behaviours from the acceleration data using two different supervised learning algorithms, Random Forest and Classification And Regression Tree (CART …”
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Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation von Praticò, Salvatore, Solano, Francesco, Di Fazio, Salvatore, Modica, Giuseppe

“… The sustainable management of natural heritage is presently considered a global strategic issue. Owing to the ever-growing availability of free data and …”
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Exploring the association between early childhood caries, malnutrition, and anemia by machine learning algorithm von Fasna, K., Khan, Saima Yunus, Ahmad, Ayesha, Sharma, Manoj Kumar

“… Three machine learning algorithms (Random Tree, CART, and Neural Network) were applied to assess …”
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9220 Machine Learning Methods In Differential Diagnosis Of Genetically Confirmed Multiple Endocrine Neoplasia Type 1 And Its Phenocopies von Trukhina, Diana, Voronov, Kirill, Mamedova, Elizaveta, Solodovnikov, Alexander, Belaya, Zhanna

“… ). The goal of this study was to develop a machine learning algorithm to estimate the probability of gMEN-1 vs phMEN-1 based on easily available clinical features at first line differential diagnostics …”
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7845 Machine Learning Methods In Differential Diagnosis Of Genetically Confirmed Multiple Endocrine Neoplasia Type 1 And Its Phenocopies von Trukhina, Diana, Voronov, Kirill, Mamedova, Elizaveta, Solodovnikov, Alexander, Belaya, Zhanna

“… ).The goal of this study was to develop a machine learning algorithm to estimate the probability of gMEN-1 vs phMEN-1 based on easily available clinical features at first line differential diagnostics …”
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B-mode Ultrasound Texture Recognition Algorithm of Liver Based on Random Forests von Li, Hongbin, Yang, Lihua, He, Taiping, Xiao, Yingcong, Liang, Zhonghua, Wu, Xiaoming

“… With the advantages of non ionizing radiation, real-time imaging, multi-directional tomography and dynamic observation of blood flow, B-mode ultrasound has …”
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