Artigos de revistas sobre o tema "Pruning random forest"
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Yang, Fan, Wei-hang Lu, Lin-kai Luo e Tao Li. "Margin optimization based pruning for random forest". Neurocomputing 94 (outubro de 2012): 54–63. http://dx.doi.org/10.1016/j.neucom.2012.04.007.
Texto completo da fonteTarchoune, Ilhem, Akila Djebbar e Hayet Farida Merouani. "Improving Random Forest with Pre-pruning technique for Binary classification". All Sciences Abstracts 1, n.º 2 (25 de julho de 2023): 11. http://dx.doi.org/10.59287/as-abstracts.1202.
Texto completo da fonteFawagreh, Khaled, e Mohamed Medhat Gaber. "eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning". Big Data and Cognitive Computing 4, n.º 4 (28 de novembro de 2020): 37. http://dx.doi.org/10.3390/bdcc4040037.
Texto completo da fonteEl Habib Daho, Mostafa, Nesma Settouti, Mohammed El Amine Bechar, Amina Boublenza e Mohammed Amine Chikh. "A new correlation-based approach for ensemble selection in random forests". International Journal of Intelligent Computing and Cybernetics 14, n.º 2 (23 de março de 2021): 251–68. http://dx.doi.org/10.1108/ijicc-10-2020-0147.
Texto completo da fonteGefeller, Olaf, Asma Gul, Folkert Horn, Zardad Khan, Berthold Lausen e Werner Adler. "Ensemble Pruning for Glaucoma Detection in an Unbalanced Data Set". Methods of Information in Medicine 55, n.º 06 (2016): 557–63. http://dx.doi.org/10.3414/me16-01-0055.
Texto completo da fonteZhu, Wancai, Zhaogang Liu, Weiwei Jia e Dandan Li. "Modelling the Tree Height, Crown Base Height, and Effective Crown Height of Pinus koraiensis Plantations Based on Knot Analysis". Forests 12, n.º 12 (15 de dezembro de 2021): 1778. http://dx.doi.org/10.3390/f12121778.
Texto completo da fontePaudel, Nawaraj, e Jagdish Bhatta. "Mushroom Classification using Random Forest and REP Tree Classifiers". Nepal Journal of Mathematical Sciences 3, n.º 1 (31 de agosto de 2022): 111–16. http://dx.doi.org/10.3126/njmathsci.v3i1.44130.
Texto completo da fonteYadav, Dhyan Chandra, e Saurabh Pal. "Analysis of Heart Disease Using Parallel and Sequential Ensemble Methods With Feature Selection Techniques". International Journal of Big Data and Analytics in Healthcare 6, n.º 1 (janeiro de 2021): 40–56. http://dx.doi.org/10.4018/ijbdah.20210101.oa4.
Texto completo da fonteGonzález, Sergio, Francisco Herrera e Salvador García. "Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity". New Generation Computing 33, n.º 4 (julho de 2015): 367–88. http://dx.doi.org/10.1007/s00354-015-0402-4.
Texto completo da fonteMulyo, Harminto, e Nadia Annisa Maori. "PENINGKATAN AKURASI PREDIKSI PEMILIHAN PROGRAM STUDI CALON MAHASISWA BARU MELALUI OPTIMASI ALGORITMA DECISION TREE DENGAN TEKNIK PRUNING DAN ENSEMBLE". Jurnal Disprotek 15, n.º 1 (2 de janeiro de 2024): 15–25. http://dx.doi.org/10.34001/jdpt.v15i1.5585.
Texto completo da fonteMawarni, Ajeng Citra, Rusdah Rusdah, Law Li Hin e Dian Anubhakti. "DETEKSI DINI GEJALA AWAL PENYAKIT DIABETES MENGGUNAKAN ALGORITMA RANDOM FOREST". IDEALIS : InDonEsiA journaL Information System 6, n.º 2 (15 de julho de 2023): 165–71. http://dx.doi.org/10.36080/idealis.v6i2.3018.
Texto completo da fonteLi, Xin, Baodong Qin, Yiyuan Luo e Dong Zheng. "A Differential Privacy Budget Allocation Algorithm Based on Out-of-Bag Estimation in Random Forest". Mathematics 10, n.º 22 (18 de novembro de 2022): 4338. http://dx.doi.org/10.3390/math10224338.
Texto completo da fonteArora, Gourav, Devender Kumar e Balraj Singh. "Tree based Regression Models for Predicting the Compressive Strength of Concrete at High Temperature". IOP Conference Series: Earth and Environmental Science 1327, n.º 1 (1 de abril de 2024): 012015. http://dx.doi.org/10.1088/1755-1315/1327/1/012015.
Texto completo da fonteKong Qingqing, 孔清清, 丁香乾 Ding Xiangqian e 宫会丽 Gong Huili. "Application of Improved Random Forest Pruning Algorithm in Tobacco Origin Identification of Near Infrared Spectrum". Laser & Optoelectronics Progress 55, n.º 1 (2018): 013006. http://dx.doi.org/10.3788/lop55.013006.
Texto completo da fonteYosefian, Iman, Ehsan Mosa Farkhani e Mohammad Reza Baneshi. "Application of Random Forest Survival Models to Increase Generalizability of Decision Trees: A Case Study in Acute Myocardial Infarction". Computational and Mathematical Methods in Medicine 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/576413.
Texto completo da fonteZhenzhen Liu, Zhenzhen Liu, Rui Zhou Zhenzhen Liu, Kangqian Huang Rui Zhou, Xin Hu Kangqian Huang, Zhe Jiang Xin Hu, Binsi Cai Zhe Jiang e Kaiguo Yuan Binsi Cai. "Intrusion Detection Based on Feature Reduction and Model Pruning in Electricity Trading Network". 電腦學刊 34, n.º 5 (outubro de 2023): 213–27. http://dx.doi.org/10.53106/199115992023103405017.
Texto completo da fonteXu, Yonghao, Li Liu, Meizhen Huang e Ning Xu. "High accuracy determination of Angelica dahurica origin based on near infrared spectroscopy and a random forest pruning algorithm". Journal of Near Infrared Spectroscopy 27, n.º 4 (20 de abril de 2019): 278–85. http://dx.doi.org/10.1177/0967033519841127.
Texto completo da fonteNhu, Viet-Ha, Himan Shahabi, Ebrahim Nohani, Ataollah Shirzadi, Nadhir Al-Ansari, Sepideh Bahrami, Shaghayegh Miraki, Marten Geertsema e Hoang Nguyen. "Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms". ISPRS International Journal of Geo-Information 9, n.º 8 (31 de julho de 2020): 479. http://dx.doi.org/10.3390/ijgi9080479.
Texto completo da fonteEd-Daoudi, Rachid, Altaf Alaoui, Badia Ettaki e Jamal Zerouaoui. "A Machine Learning Approach to Identify Optimal Cultivation Practices for Sustainable apple Production in Precision Agriculture in Morocco". E3S Web of Conferences 469 (2023): 00052. http://dx.doi.org/10.1051/e3sconf/202346900052.
Texto completo da fonteVenkatarathinam, R., R. Sivakami, Prasanna Ranjith Christodoss, Mahesh T R, E. Mohan e Vinoth Kumar V. "Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 8s (18 de agosto de 2023): 315–24. http://dx.doi.org/10.17762/ijritcc.v11i8s.7211.
Texto completo da fonteLiu Ming, 刘. 明., 李忠任 Li Zhongren, 张海涛 Zhang Haitao, 于春霞 Yu Chunxia, 唐兴宏 Tang Xinghong e 丁香乾 Ding Xiangqian. "Feature Selection Algorithm Application in Near-Infrared Spectroscopy Classification Based on Binary Search Combined with Random Forest Pruning". Laser & Optoelectronics Progress 54, n.º 10 (2017): 103001. http://dx.doi.org/10.3788/lop54.103001.
Texto completo da fonteDjafri, Laouni, Djamel Amar Bensaber e Reda Adjoudj. "Big Data analytics for prediction: parallel processing of the big learning base with the possibility of improving the final result of the prediction". Information Discovery and Delivery 46, n.º 3 (20 de agosto de 2018): 147–60. http://dx.doi.org/10.1108/idd-02-2018-0002.
Texto completo da fonteChang, Yangyang, e Fadi Abu-Amara. "An Efficient Hybrid Classifier for Cancer Detection". International Journal of Online and Biomedical Engineering (iJOE) 17, n.º 03 (9 de março de 2021): 76. http://dx.doi.org/10.3991/ijoe.v17i03.19683.
Texto completo da fonteKhozani, Zohreh Sheikh, Khabat Khosravi, Binh Thai Pham, Bjørn Kløve, Wan Hanna Melini Wan Mohtar e Zaher Mundher Yaseen. "Determination of compound channel apparent shear stress: application of novel data mining models". Journal of Hydroinformatics 21, n.º 5 (18 de junho de 2019): 798–811. http://dx.doi.org/10.2166/hydro.2019.037.
Texto completo da fonteMr. D Krishna, Erukulla Laasya, A Sowmya Sri, T Ravinder Reddy e Akhil Sanjoy. "BIOMEDICAL TEXT DOCUMENT CLASSIFICATION". international journal of engineering technology and management sciences 7, n.º 3 (2023): 788–92. http://dx.doi.org/10.46647/ijetms.2023.v07i03.121.
Texto completo da fonteGao, Jun, Lingwei Sun, Shushan Zhang, Jiehuan Xu, Mengqian He, Defu Zhang, Caifeng Wu e Jianjun Dai. "Screening Discriminating SNPs for Chinese Indigenous Pig Breeds Identification Using a Random Forests Algorithm". Genes 13, n.º 12 (25 de novembro de 2022): 2207. http://dx.doi.org/10.3390/genes13122207.
Texto completo da fonteGrégoire, Guillaume, Josée Fortin, Isa Ebtehaj e Hossein Bonakdari. "Novel Hybrid Statistical Learning Framework Coupled with Random Forest and Grasshopper Optimization Algorithm to Forecast Pesticide Use on Golf Courses". Agriculture 12, n.º 7 (28 de junho de 2022): 933. http://dx.doi.org/10.3390/agriculture12070933.
Texto completo da fonteMenéndez García, Luis Alfonso, Marta Menéndez Fernández, Violetta Sokoła-Szewioła, Laura Álvarez de Prado, Almudena Ortiz Marqués, David Fernández López e Antonio Bernardo Sánchez. "A Method of Pruning and Random Replacing of Known Values for Comparing Missing Data Imputation Models for Incomplete Air Quality Time Series". Applied Sciences 12, n.º 13 (25 de junho de 2022): 6465. http://dx.doi.org/10.3390/app12136465.
Texto completo da fonteXu, JunYi. "Systematic Analysis and Application Prospect of Decision Tree". Highlights in Science, Engineering and Technology 71 (28 de novembro de 2023): 163–70. http://dx.doi.org/10.54097/hset.v71i.12687.
Texto completo da fonteChen, Lei, Yu-Hang Zhang, Xiaoyong Pan, Min Liu, Shaopeng Wang, Tao Huang e Yu-Dong Cai. "Tissue Expression Difference between mRNAs and lncRNAs". International Journal of Molecular Sciences 19, n.º 11 (31 de outubro de 2018): 3416. http://dx.doi.org/10.3390/ijms19113416.
Texto completo da fonteKamarudin, Nur Fatihah, e Zuraini Ali Shah. "Feature Extraction And Classification On Single Nucleotide Polymorphism". International Journal of Advanced Science Computing and Engineering 1, n.º 2 (2 de setembro de 2019): 85–90. http://dx.doi.org/10.30630/ijasce.1.2.6.
Texto completo da fonteGadebe, Moses Lesiba, e Okuthe Paul Kogeda. "Top-K Human Activity Recognition Dataset". International Journal of Interactive Mobile Technologies (iJIM) 14, n.º 18 (10 de novembro de 2020): 68. http://dx.doi.org/10.3991/ijim.v14i18.16965.
Texto completo da fonteMoura, Rebecca Silva de, Kellen Rabello de Souza, Daniel Da Silva Souza, Gabriel Mendes Santana, Guilherme Murilo De Oliveira, Fábio Venturoli e Carlos De Melo e. Silva-Neto. "Damage in Khaya ivorensis caused by Trigona spinipes in Brazilian savannah". Acta Brasiliensis 1, n.º 1 (15 de janeiro de 2017): 40. http://dx.doi.org/10.22571/actabra11201715.
Texto completo da fonteKamarudin, Nur Fatihah, Zuraini Ali Shah, Mohd Farhan Md Fudzee e Shahreen Kasim. "Feature Extraction and Classification On Single Nucleotide Polymorphism". International Journal of Advanced Science Computing and Engineering 1, n.º 2 (30 de agosto de 2019): 85–90. http://dx.doi.org/10.62527/ijasce.1.2.6.
Texto completo da fonteNickele, Mariane Aparecida, e Wilson Reis Filho. "Population Dynamics of Acromyrmex crassispinus (Forel) (Hymenoptera: Formicidae) and Attacks on Pinus taeda Linnaeus (Pinaceae) plantations". Sociobiology 62, n.º 3 (30 de setembro de 2015): 340. http://dx.doi.org/10.13102/sociobiology.v62i3.422.
Texto completo da fonteJiang, Sheng, Ziyi Liu, Jiajun Hua, Zhenyu Zhang, Shuai Zhao, Fangnan Xie, Jiangbo Ao et al. "A Real-Time Detection and Maturity Classification Method for Loofah". Agronomy 13, n.º 8 (16 de agosto de 2023): 2144. http://dx.doi.org/10.3390/agronomy13082144.
Texto completo da fonteAlmohammed, Fadi, Parveen Sihag, Saad Sh Sammen, Krzysztof Adam Ostrowski, Karan Singh, C. Venkata Siva Rama Prasad e Paulina Zajdel. "Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete". Materials 15, n.º 2 (10 de janeiro de 2022): 489. http://dx.doi.org/10.3390/ma15020489.
Texto completo da fonteWang, Shuai, Yiping Yao, Feng Zhu, Wenjie Tang e Yuhao Xiao. "A Probabilistic Prediction Approach for Memory Resource of Complex System Simulation in Cloud Computing Environment". Symmetry 12, n.º 11 (4 de novembro de 2020): 1826. http://dx.doi.org/10.3390/sym12111826.
Texto completo da fonteAlHadid, Issam, Evon Abu-Taieh, Rami S. Alkhawaldeh, Sufian Khwaldeh, Ra’ed Masa’deh, Khalid Kaabneh e Ala’Aldin Alrowwad. "Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk". International Journal of Environmental Research and Public Health 19, n.º 14 (7 de julho de 2022): 8281. http://dx.doi.org/10.3390/ijerph19148281.
Texto completo da fonteAbu-Taieh, Evon, Issam AlHadid, Ra’ed Masa’deh, Rami S. Alkhawaldeh, Sufian Khwaldeh e Ala’aldin Alrowwad. "Factors Influencing YouTube as a Learning Tool and Its Influence on Academic Achievement in a Bilingual Environment Using Extended Information Adoption Model (IAM) with ML Prediction—Jordan Case Study". Applied Sciences 12, n.º 12 (9 de junho de 2022): 5856. http://dx.doi.org/10.3390/app12125856.
Texto completo da fonteTu, Yu-Hsuan, Kasper Johansen, Stuart Phinn e Andrew Robson. "Measuring Canopy Structure and Condition Using Multi-Spectral UAS Imagery in a Horticultural Environment". Remote Sensing 11, n.º 3 (30 de janeiro de 2019): 269. http://dx.doi.org/10.3390/rs11030269.
Texto completo da fonteKarri, Praveen Kumar, D. Jaya Kumari e Sowmya Sree Karri. "A Scalable Malware Detection Approach through Significant Permission Identification for Android Devices". International Journal of Innovation in Multidisciplinary Scientific Research 02, n.º 01 (2024): 24–29. http://dx.doi.org/10.61239/ijimsr.2024.2113.
Texto completo da fonteBilal, Boudy, Kaan Yetilmezsoy e Mohammed Ouassaid. "Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power". Energies 17, n.º 3 (1 de fevereiro de 2024): 697. http://dx.doi.org/10.3390/en17030697.
Texto completo da fonteAlmutairi, Saad, S. Manimurugan, Naveen Chilamkurti, Majed Mohammed Aborokbah, C. Narmatha, Subramaniam Ganesan, Riyadh A. Alzaheb e Hani Almoamari. "A Context-Aware MRIPPER Algorithm for Heart Disease Prediction". Journal of Healthcare Engineering 2022 (11 de julho de 2022): 1–11. http://dx.doi.org/10.1155/2022/7853604.
Texto completo da fonteIslam, Abu Reza Md Towfiqul, Swapan Talukdar, Shumona Akhter, Kutub Uddin Eibek, Md Mostafizur Rahman, Swades Pal, Mohd Waseem Naikoo, Atiqur Rahman e Amir Mosavi. "Assessing the Impact of the Farakka Barrage on Hydrological Alteration in the Padma River with Future Insight". Sustainability 14, n.º 9 (26 de abril de 2022): 5233. http://dx.doi.org/10.3390/su14095233.
Texto completo da fonteZhu, Jun, Ziwu Pan, Hang Wang, Peijie Huang, Jiulin Sun, Fen Qin e Zhenzhen Liu. "An Improved Multi-temporal and Multi-feature Tea Plantation Identification Method Using Sentinel-2 Imagery". Sensors 19, n.º 9 (5 de maio de 2019): 2087. http://dx.doi.org/10.3390/s19092087.
Texto completo da fonteYallini, S. K. Komagal. "An Ensemble Methods of Predicting the New Labels with Concept Drift from a High-Dimensional Data Stream". international journal of advanced research in computer science 15, n.º 2 (20 de abril de 2024): 92–100. http://dx.doi.org/10.26483/ijarcs.v15i2.7068.
Texto completo da fonteJoshi, Ankur, Sukanya Sharma, N. V. M. Rao e A. K. Vaish. "Usage of Machine Learning Algorithm Models to Predict Operational Efficiency Performance of Selected Banking Sectors of India". International Journal of Emerging Technology and Advanced Engineering 12, n.º 6 (2 de junho de 2022): 105–14. http://dx.doi.org/10.46338/ijetae0622_14.
Texto completo da fonteAbounoas, Zahira, Wassim Raphael, Yarob Badr, Rafic Faddoul e Anne Guillaume. "Crash data reporting systems in fourteen Arab countries: challenges and improvement". Archives of Transport 56, n.º 4 (30 de dezembro de 2020): 73–88. http://dx.doi.org/10.5604/01.3001.0014.5628.
Texto completo da fonteSingh, Sanjay, Rajiv Pandey e Rameshwar Das. "Estimation of Diospyros melanoxylon Roxb. Leaves Production in Forests of Jharkhand, India". Asian Plant Research Journal 11, n.º 6 (16 de outubro de 2023): 1–8. http://dx.doi.org/10.9734/aprj/2023/v11i6226.
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