Journal articles on the topic 'Tree Ensemble'
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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.
Full textWINDEATT, 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.
Full textPahno, 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.
Full textPETERSON, 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.
Full textJiang, 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.
Full textKułaga, 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.
Full textRanzato, 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.
Full textLouk, 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.
Full textBuschjäger, 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.
Full textFranzese, 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.
Full textLiu, 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.
Full textFern, 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.
Full textJung, 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.
Full textMišić, Velibor V. "Optimization of Tree Ensembles." Operations Research 68, no. 5 (September 2020): 1605–24. http://dx.doi.org/10.1287/opre.2019.1928.
Full textChoi, 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.
Full textLiu, 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.
Full textRahman, 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.
Full textRuaud, 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.
Full textGavrylenko, 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.
Full textKelarev, 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.
Full textGbenga, 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.
Full textDagogo-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.
Full textGarcía-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.
Full textDağ, 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.
Full textWei, 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.
Full textZou, 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.
Full textYang, 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.
Full textLiu, 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.
Full textSun, 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.
Full textYamaguchi, 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.
Full textFrederickson, 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.
Full textFrederickson, 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.
Full textHsu, 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.
Full textJun, 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.
Full textPleșoianu, 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.
Full textBarukab, 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.
Full textLiu, 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.
Full textBian, 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.
Full textGeethanjali, 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.
Full textCahyana, 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.
Full textCao, 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.
Full textGodara, 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.
Full textZhang, 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.
Full textLiu, 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.
Full textCho, 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.
Full textZhou, 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.
Full textLavanya, 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.
Full textLi, 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.
Full textPark, 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.
Full textWeng, 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.
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