Статті в журналах з теми "Tree Ensemble"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Tree Ensemble".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Alazba, Amal, and Hamoud Aljamaan. "Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles." Applied Sciences 12, no. 9 (April 30, 2022): 4577. http://dx.doi.org/10.3390/app12094577.
Повний текст джерелаWINDEATT, T., and G. ARDESHIR. "DECISION TREE SIMPLIFICATION FOR CLASSIFIER ENSEMBLES." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 05 (August 2004): 749–76. http://dx.doi.org/10.1142/s021800140400340x.
Повний текст джерелаPahno, Steve, Jidong J. Yang, and S. Sonny Kim. "Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus." Infrastructures 6, no. 6 (May 21, 2021): 78. http://dx.doi.org/10.3390/infrastructures6060078.
Повний текст джерелаPETERSON, ADAM H., and TONY R. MARTINEZ. "REDUCING DECISION TREE ENSEMBLE SIZE USING PARALLEL DECISION DAGS." International Journal on Artificial Intelligence Tools 18, no. 04 (August 2009): 613–20. http://dx.doi.org/10.1142/s0218213009000305.
Повний текст джерелаJiang, Xiangkui, Chang-an Wu, and Huaping Guo. "Forest Pruning Based on Branch Importance." Computational Intelligence and Neuroscience 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3162571.
Повний текст джерелаKułaga, Rafał, and Marek Gorgoń. "FPGA Implementation of Decision Trees and Tree Ensembles for Character Recognition in Vivado Hls." Image Processing & Communications 19, no. 2-3 (September 1, 2014): 71–82. http://dx.doi.org/10.1515/ipc-2015-0012.
Повний текст джерелаRanzato, Francesco, and Marco Zanella. "Abstract Interpretation of Decision Tree Ensemble Classifiers." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5478–86. http://dx.doi.org/10.1609/aaai.v34i04.5998.
Повний текст джерелаLouk, Maya Hilda Lestari, and Bayu Adhi Tama. "Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit." Algorithms 15, no. 9 (September 17, 2022): 332. http://dx.doi.org/10.3390/a15090332.
Повний текст джерелаBuschjäger, Sebastian, Sibylle Hess, and Katharina J. Morik. "Shrub Ensembles for Online Classification." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6123–31. http://dx.doi.org/10.1609/aaai.v36i6.20560.
Повний текст джерелаFranzese, Giulio, and Monica Visintin. "Probabilistic Ensemble of Deep Information Networks." Entropy 22, no. 1 (January 14, 2020): 100. http://dx.doi.org/10.3390/e22010100.
Повний текст джерелаLiu, F. T., K. M. Ting, Y. Yu, and Z. H. Zhou. "Spectrum of Variable-Random Trees." Journal of Artificial Intelligence Research 32 (May 29, 2008): 355–84. http://dx.doi.org/10.1613/jair.2470.
Повний текст джерелаFern, Alan, and Paul Lewis. "Ensemble Monte-Carlo Planning: An Empirical Study." Proceedings of the International Conference on Automated Planning and Scheduling 21 (March 22, 2011): 58–65. http://dx.doi.org/10.1609/icaps.v21i1.13458.
Повний текст джерелаJung, M., M. Reichstein, and A. Bondeau. "Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model." Biogeosciences Discussions 6, no. 3 (May 26, 2009): 5271–304. http://dx.doi.org/10.5194/bgd-6-5271-2009.
Повний текст джерелаMišić, Velibor V. "Optimization of Tree Ensembles." Operations Research 68, no. 5 (September 2020): 1605–24. http://dx.doi.org/10.1287/opre.2019.1928.
Повний текст джерелаChoi, Sung Hoon, and Hyunjoong Kim. "Tree size determination for classification ensemble." Journal of the Korean Data and Information Science Society 27, no. 1 (January 31, 2016): 255–64. http://dx.doi.org/10.7465/jkdi.2016.27.1.255.
Повний текст джерелаLiu, Chanjuan, Shijie Zhou, You-Gan Wang, and Zhihua Hu. "Natural mortality estimation using tree-based ensemble learning models." ICES Journal of Marine Science 77, no. 4 (June 5, 2020): 1414–26. http://dx.doi.org/10.1093/icesjms/fsaa058.
Повний текст джерелаRahman, Raziur, Saad Haider, Souparno Ghosh, and Ranadip Pal. "Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction." Cancer Informatics 14s5 (January 2015): CIN.S30794. http://dx.doi.org/10.4137/cin.s30794.
Повний текст джерелаRuaud, Albane, Niklas Pfister, Ruth E. Ley, and Nicholas D. Youngblut. "Interpreting tree ensemble machine learning models with endoR." PLOS Computational Biology 18, no. 12 (December 14, 2022): e1010714. http://dx.doi.org/10.1371/journal.pcbi.1010714.
Повний текст джерелаGavrylenko, Svitlana, and Oleksii Hornostal. "Development of a method for identification of the state of computer systems based on bagging classifiers." Advanced Information Systems 5, no. 4 (December 20, 2021): 5–9. http://dx.doi.org/10.20998/2522-9052.2021.4.01.
Повний текст джерелаKelarev, Andrei V., Jemal Abawajy, Andrew Stranieri, and Herbert F. Jelinek. "Empirical Investigation of Decision Tree Ensembles for Monitoring Cardiac Complications of Diabetes." International Journal of Data Warehousing and Mining 9, no. 4 (October 2013): 1–18. http://dx.doi.org/10.4018/ijdwm.2013100101.
Повний текст джерелаGbenga, Fadare Oluwaseun, Adetunmbi Adebayo Olusola, and Oyinloye Oghenerukevwe Elohor. "Towards Optimization of Malware Detection using Extra-Tree and Random Forest Feature Selections on Ensemble Classifiers." International Journal of Recent Technology and Engineering 9, no. 6 (March 30, 2021): 223–32. http://dx.doi.org/10.35940/ijrte.f5545.039621.
Повний текст джерелаDagogo-George, Tamunopriye Ene, Hammed Adeleye Mojeed, Abdulateef Oluwagbemiga Balogun, Modinat Abolore Mabayoje, and Shakirat Aderonke Salihu. "Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction." Jurnal Teknologi dan Sistem Komputer 8, no. 4 (October 13, 2020): 297–303. http://dx.doi.org/10.14710/jtsiskom.2020.13669.
Повний текст джерелаGarcía-Martín, Eva, Albert Bifet, and Niklas Lavesson. "Energy modeling of Hoeffding tree ensembles." Intelligent Data Analysis 25, no. 1 (January 26, 2021): 81–104. http://dx.doi.org/10.3233/ida-194890.
Повний текст джерелаDağ, Özge Hüsniye Namlı. "Predicting the Success of Ensemble Algorithms in the Banking Sector." International Journal of Business Analytics 6, no. 4 (October 2019): 12–31. http://dx.doi.org/10.4018/ijban.2019100102.
Повний текст джерелаWei, Yan Yan, and Tao Sheng Li. "An Empirical Study on Feature Subsampling-Based Ensembles." Applied Mechanics and Materials 239-240 (December 2012): 848–52. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.848.
Повний текст джерелаZou, Yao, Changchun Gao, Meng Xia, and Congyuan Pang. "Credit scoring based on a Bagging-cascading boosted decision tree." Intelligent Data Analysis 26, no. 6 (November 12, 2022): 1557–78. http://dx.doi.org/10.3233/ida-216228.
Повний текст джерелаYang, Dazhi. "Ultra-fast analog ensemble using kd-tree." Journal of Renewable and Sustainable Energy 11, no. 5 (September 2019): 053703. http://dx.doi.org/10.1063/1.5124711.
Повний текст джерелаLiu, Xiaoqian, Qianmu Li, Tao Li, and Dong Chen. "Differentially private classification with decision tree ensemble." Applied Soft Computing 62 (January 2018): 807–16. http://dx.doi.org/10.1016/j.asoc.2017.09.010.
Повний текст джерелаSun, Tao, and Zhi-Hua Zhou. "Structural diversity for decision tree ensemble learning." Frontiers of Computer Science 12, no. 3 (February 15, 2018): 560–70. http://dx.doi.org/10.1007/s11704-018-7151-8.
Повний текст джерелаYamaguchi, Takashi, Yuki Noguchi, Kenneth J. Mackin, and Takumi Ichimura. "Cluster ensemble in adaptive tree structured clustering." International Journal of Knowledge Engineering and Soft Data Paradigms 3, no. 1 (2011): 69. http://dx.doi.org/10.1504/ijkesdp.2011.039879.
Повний текст джерелаFrederickson, Greg N., and D. J. Guan. "Preemptive Ensemble Motion Planning on a Tree." SIAM Journal on Computing 21, no. 6 (December 1992): 1130–52. http://dx.doi.org/10.1137/0221066.
Повний текст джерелаFrederickson, G. N., and D. J. Guan. "Nonpreemptive Ensemble Motion Planning on a Tree." Journal of Algorithms 15, no. 1 (July 1993): 29–60. http://dx.doi.org/10.1006/jagm.1993.1029.
Повний текст джерелаHsu, Kuo-Wei. "A Theoretical Analysis of Why Hybrid Ensembles Work." Computational Intelligence and Neuroscience 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1930702.
Повний текст джерелаJun, Sungbum. "Evolutionary Algorithm for Improving Decision Tree with Global Discretization in Manufacturing." Sensors 21, no. 8 (April 18, 2021): 2849. http://dx.doi.org/10.3390/s21082849.
Повний текст джерелаPleșoianu, Alin-Ionuț, Mihai-Sorin Stupariu, Ionuț Șandric, Ileana Pătru-Stupariu, and Lucian Drăguț. "Individual Tree-Crown Detection and Species Classification in Very High-Resolution Remote Sensing Imagery Using a Deep Learning Ensemble Model." Remote Sensing 12, no. 15 (July 29, 2020): 2426. http://dx.doi.org/10.3390/rs12152426.
Повний текст джерелаBarukab, Omar, Amir Ahmad, Tabrej Khan, and Mujeeb Rahiman Thayyil Kunhumuhammed. "Analysis of Parkinson’s Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods." Diagnostics 12, no. 12 (November 30, 2022): 3000. http://dx.doi.org/10.3390/diagnostics12123000.
Повний текст джерелаLiu, Rencheng, Saqib Ali, Syed Fakhar Bilal, Zareen Sakhawat, Azhar Imran, Abdullah Almuhaimeed, Abdulkareem Alzahrani, and Guangmin Sun. "An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms." Applied Sciences 12, no. 18 (September 18, 2022): 9355. http://dx.doi.org/10.3390/app12189355.
Повний текст джерелаBian, Yan Shan, Ling Da Wu, Rong Huan Yu, and Zhi Ke Chen. "Individual Tree Detection from High Spatial Resolution Imagery Using Color and Texture Features." Applied Mechanics and Materials 519-520 (February 2014): 703–7. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.703.
Повний текст джерелаGeethanjali, P., and K. K. Ray. "STATISTICAL PATTERN RECOGNITION TECHNIQUE FOR IMPROVED REAL-TIME MYOELECTRIC SIGNAL CLASSIFICATION." Biomedical Engineering: Applications, Basis and Communications 25, no. 02 (April 2013): 1350026. http://dx.doi.org/10.4015/s1016237213500269.
Повний текст джерелаCahyana, Nur Heri, Yuli Fauziah, and Agus Sasmito Aribowo. "The Comparison of Tree-Based Ensemble Machine Learning for Classifying Public Datasets." RSF Conference Series: Engineering and Technology 1, no. 1 (December 23, 2021): 407–13. http://dx.doi.org/10.31098/cset.v1i1.412.
Повний текст джерелаCao, Mengli, and Xingwei Ling. "Quantitative Comparison of Tree Ensemble Learning Methods for Perfume Identification Using a Portable Electronic Nose." Applied Sciences 12, no. 19 (September 27, 2022): 9716. http://dx.doi.org/10.3390/app12199716.
Повний текст джерелаGodara, Jyoti, Isha Batra, Rajni Aron, and Mohammad Shabaz. "Ensemble Classification Approach for Sarcasm Detection." Behavioural Neurology 2021 (November 22, 2021): 1–13. http://dx.doi.org/10.1155/2021/9731519.
Повний текст джерелаZhang, Shangtong, and Hengshuai Yao. "ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5789–96. http://dx.doi.org/10.1609/aaai.v33i01.33015789.
Повний текст джерелаLiu, Jiaming, Liuan Wang, Linan Zhang, Zeming Zhang, and Sicheng Zhang. "Predictive analytics for blood glucose concentration: an empirical study using the tree-based ensemble approach." Library Hi Tech 38, no. 4 (July 1, 2020): 835–58. http://dx.doi.org/10.1108/lht-08-2019-0171.
Повний текст джерелаCho, Sung-bin. "Corporate Bankruptcy Prediction using Decision Tree Ensemble Technique." Journal of the Korea Management Engineers Society 25, no. 4 (December 31, 2020): 63–71. http://dx.doi.org/10.35373/kmes.25.4.5.
Повний текст джерелаZhou, Yu, Hui Li, Mei Chen, Zhenyu Dai, and Ming Zhu. "Accelerate tree ensemble learning based on adaptive sampling." Journal of Computational Methods in Sciences and Engineering 20, no. 2 (July 10, 2020): 509–19. http://dx.doi.org/10.3233/jcm-193912.
Повний текст джерелаLavanya, D. "Ensemble Decision Tree Classifier For Breast Cancer Data." International Journal of Information Technology Convergence and Services 2, no. 1 (February 29, 2012): 17–24. http://dx.doi.org/10.5121/ijitcs.2012.2103.
Повний текст джерелаLi, Feijiang, Yuhua Qian, and Jieting Wang. "GoT: a Growing Tree Model for Clustering Ensemble." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8349–56. http://dx.doi.org/10.1609/aaai.v35i9.17015.
Повний текст джерелаPark, Sangho, and Chanmin Kim. "Comparison of tree-based ensemble models for regression." Communications for Statistical Applications and Methods 29, no. 5 (September 30, 2022): 561–89. http://dx.doi.org/10.29220/csam.2022.29.5.561.
Повний текст джерелаWeng, Jinxian, and Qiang Meng. "Ensemble Tree Approach to Estimating Work Zone Capacity." Transportation Research Record: Journal of the Transportation Research Board 2286, no. 1 (January 2012): 56–67. http://dx.doi.org/10.3141/2286-07.
Повний текст джерела