Suchergebnisse - improved tree machine algorithm

Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight von Chen, Xuan, Przystupa, Krzysztof, Ye, Zhiwei, Chen, Feng, Wang, Chunzhi, Liu, Jinhang, Gao, Rong, Wei, Ming, Kochan, Orest

“… In this paper, a hybrid method, composed of kernel principal component analysis (KPCA), tree seed algorithm based on Lévy flight (LTSA …”
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Battery SOH estimation based on decision tree and improved support vector machine regression algorithm von Qian, Lijun, Xuan, Liang, Chen, Jian

“… ) of the United States. Based on the obtained feature samples, a decision tree algorithm is used to analyze them and obtain the importance of each feature …”
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Application of Improved Classification Algorithm with Binary Tree Support Vector Machine in Power Grid Prediction von Chen, Yingjun

“… To further improve the accuracy of the power grid prediction, the paper proposes an improved binary tree classification algorithm with the SVM and predicts the real time power grid …”
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Improved tree-based machine learning algorithms combining with bagging strategy for landslide susceptibility modeling von Zhang, Tingyu, Quevedo, Renata Pacheco, Wang, Huanyuan, Fu, Quan, Luo, Dan, Wang, Tao, de Oliveira, Guilherme Garcia, Guasselli, Laurindo Antonio, Renno, Camilo Daleles

“… Based on the GIS platform, three hybrid tree-based models, namely decision tree (DT), logistic model tree (LMT …”
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Virtual Machine Consolidation Algorithm Based on Decision Tree and Improved Q-learning by Uniform Distribution von SHI Liang, WEN Liangming, LEI Sheng, LI Jianhui

“… algorithm becomes increasingly prominent.Therefore,this paper proposes DTQL-UD,a virtual machine consolidation algorithm based on decision tree and improved Q-learning by uniform …”
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Prediction of Heart Disease using Forest Algorithm over Decision Tree using Machine Learning with Improved Accuracy von Raj, K N S Shanmukha, Thinakaran, K

“… Methods and Materials: Anticipating coronary illness expectation was completed utilising machine learning calculations, for example, Forest Algorithm and Decision tree …”
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Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using Decision Tree Algorithm over Support Vector Machine Algorithm with Improved Accuracy von Srinivasulureddy, Ch, Kumar, Neelam Sanjeev, Binu, V S

“… ) and Support vector machine (SVM) algorithms and compare their efficiency in detecting breast cancer tumors …”
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Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Decision Tree Algorithm over the Support Vector Machine Algorithm with Improved Accuracy von Charan, Garudadri Venkata Sree, Kumar, Neelam Sanjeev

“… ) for the Decision tree and GROUP 2 (N=20) for the Support Vector Machine (SVM) in accordance with the total sample size calculated using …”
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An Improved Decision Tree Algorithm Based on Support Vector Machine for Medical Data Analysis von Zhixiu, Zhang, Zhixiang, Lu

“… The suggested model will be utilized to analyze drug research data for prediction in this work, and it will be based on support vector machines and decision tree techniques …”
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Determination of total phosphorus concentration in water by using visible-near-infrared spectroscopy with machine learning algorithm von Wang, Na, Xie, Leiying, Zuo, Yi, Wang, Shaowei

“… We proposed a rapid, highly sensitive, and pollution-free approach that combines spectroscopy with a machine learning algorithm we improved called synergy interval Extra-Trees regression (siETR …”
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Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot von Song, Qisong, Li, Shaobo, Yang, Jing, Bai, Qiang, Hu, Jianjun, Zhang, Xingxing, Zhang, Ansi

“… ) algorithms, an improved smooth rapidly exploring random tree (S-RRT) algorithm, and an improved hybrid genetic algorithm-ant colony optimization (HGA-ACO …”
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Tree species information extraction of farmland returned to forests based on improved support vector machine algorithm von Wu, Jian, Peng, Dao-Li

“… Afterwards, the information of tree species was extracted using improved support vector machine algorithm …”
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A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm von Hajihosseinlou, Mahsa, Maghsoudi, Abbas, Ghezelbash, Reza

“… The gradient boosting decision tree is a well-known machine learning algorithm. Despite numerous advancements in its application, its efficiency still needs to be improved for large feature dimensions and data capacities …”
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Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data von Wang, Jiali, Chen, Jia

“… ). Finally, three improved Boosting algorithms were proposed, namely Light Gradient Boosting Machine (LightGBM …”
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Hybrid Metaheuristic Optimization Algorithms with Least-Squares Support Vector Machine and Boosted Regression Tree Models for Prediction of Air-Blast Due to Mine Blasting von Ding, Xiaohua, Hasanipanah, Mahdi, Ulrikh, Dmitrii Vladimirovich

“… The developed models were constructed based on the boosted regression tree (BRT) and least-squares support vector machine (LSSVM …”
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A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis von Omotehinwa, Temidayo Oluwatosin, Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga

“… This study proposed using the Light Gradient-Boosting Machine (LightGBM) algorithm, Borderline- Synthetic Minority Oversampling Technique (SMOTE …”
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Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response von Hussain, Lal, Huang, Pauline, Nguyen, Tony, Lone, Kashif J., Ali, Amjad, Khan, Muhammad Salman, Li, Haifang, Suh, Doug Young, Duong, Tim Q.

“… Purpose This study used machine learning classification of texture features from MRI of breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular subtypes to predict …”
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UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning von Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Manavalan, Balachandran, Shoombuatong, Watshara

“… We combined six well-known machine learning algorithms (extremely randomized trees …”
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BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm von Abbas, Shafaq, Jalil, Zunera, Javed, Abdul Rehman, Batool, Iqra, Khan, Mohammad Zubair, Noorwali, Abdulfattah, Gadekallu, Thippa Reddy, Akbar, Aqsa

“… Machine learning algorithms have proven to outperform all existing solutions for the prediction of breast cancer using models built on the previously available data …”
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Heart Plaque Detection with Improved Accuracy using Decision tree in comparison with Least Squares Support Vector Machine von Kumar, Vankamaddi Sunil, Vidhya, K

“… Aim: The main aim of this research is to detect heart plaque using the Decision Tree algorithm with improved accuracy and comparing it with Least Squares Support Vector Machine …”
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