Статті в журналах з теми "Selected subset of training data"
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Liu, Xiao Fang, and Chun Yang. "Training Data Reduction and Classification Based on Greedy Kernel Principal Component Analysis and Fuzzy C-Means Algorithm." Applied Mechanics and Materials 347-350 (August 2013): 2390–94. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2390.
Повний текст джерелаYu, Siwei, Jianwei Ma, and Stanley Osher. "Monte Carlo data-driven tight frame for seismic data recovery." GEOPHYSICS 81, no. 4 (July 2016): V327—V340. http://dx.doi.org/10.1190/geo2015-0343.1.
Повний текст джерелаUkil, Arijit, Leandro Marin, and Antonio J. Jara. "When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification." PLOS ONE 17, no. 11 (November 23, 2022): e0277975. http://dx.doi.org/10.1371/journal.pone.0277975.
Повний текст джерелаHampson, Daniel P., James S. Schuelke, and John A. Quirein. "Use of multiattribute transforms to predict log properties from seismic data." GEOPHYSICS 66, no. 1 (January 2001): 220–36. http://dx.doi.org/10.1190/1.1444899.
Повний текст джерелаAbuassba, Adnan O. M., Dezheng Zhang, Xiong Luo, Ahmad Shaheryar, and Hazrat Ali. "Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines." Computational Intelligence and Neuroscience 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3405463.
Повний текст джерелаLai, Feilin, and Xiaojun Yang. "Improving Land Cover Classification Over a Large Coastal City Through Stacked Generalization with Filtered Training Samples." Photogrammetric Engineering & Remote Sensing 88, no. 7 (July 1, 2022): 451–59. http://dx.doi.org/10.14358/pers.21-00035r3.
Повний текст джерелаHao, Ruqian, Lin Liu, Jing Zhang, Xiangzhou Wang, Juanxiu Liu, Xiaohui Du, Wen He, Jicheng Liao, Lu Liu, and Yuanying Mao. "A Data-Efficient Framework for the Identification of Vaginitis Based on Deep Learning." Journal of Healthcare Engineering 2022 (February 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/1929371.
Повний текст джерелаYao, Yu Kai, Yang Liu, Zhao Li, and Xiao Yun Chen. "An Effective K-Means Clustering Based SVM Algorithm." Applied Mechanics and Materials 333-335 (July 2013): 1344–48. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1344.
Повний текст джерелаNakoneczny, S. J., M. Bilicki, A. Pollo, M. Asgari, A. Dvornik, T. Erben, B. Giblin, et al. "Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4." Astronomy & Astrophysics 649 (May 2021): A81. http://dx.doi.org/10.1051/0004-6361/202039684.
Повний текст джерелаZavala, Valentina A., Tatiana Vidaurre, Xiaosong Huang, Sandro Casavilca, Jeannie Navarro, Michelle A. Williams, Sixto Sanchez, et al. "Abstract 3683: Identification of optimal set of genetic variants from a previously reported polygenic risk score for breast cancer risk prediction in Latin American women." Cancer Research 82, no. 12_Supplement (June 15, 2022): 3683. http://dx.doi.org/10.1158/1538-7445.am2022-3683.
Повний текст джерелаSwartz, James A., Qiao Lin, and Yerim Kim. "A measurement invariance analysis of selected Opioid Overdose Knowledge Scale (OOKS) items among bystanders and first responders." PLOS ONE 17, no. 10 (October 14, 2022): e0271418. http://dx.doi.org/10.1371/journal.pone.0271418.
Повний текст джерелаChen, Yen-Liang, Li-Chen Cheng, and Yi-Jun Zhang. "Building a training dataset for classification under a cost limitation." Electronic Library 39, no. 1 (February 24, 2021): 77–96. http://dx.doi.org/10.1108/el-07-2020-0209.
Повний текст джерелаJia, Jinyuan, Yupei Liu, Xiaoyu Cao, and Neil Zhenqiang Gong. "Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (June 28, 2022): 9575–83. http://dx.doi.org/10.1609/aaai.v36i9.21191.
Повний текст джерелаAhmad, Wasim, Sheraz Ali Khan, Cheol Hong Kim, and Jong-Myon Kim. "Feature Selection for Improving Failure Detection in Hard Disk Drives Using a Genetic Algorithm and Significance Scores." Applied Sciences 10, no. 9 (May 4, 2020): 3200. http://dx.doi.org/10.3390/app10093200.
Повний текст джерелаCardellicchio, Angelo, Sergio Ruggieri, Valeria Leggieri, and Giuseppina Uva. "View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings." Data 7, no. 1 (December 31, 2021): 4. http://dx.doi.org/10.3390/data7010004.
Повний текст джерелаRen, Jiadong, Jiawei Guo, Wang Qian, Huang Yuan, Xiaobing Hao, and Hu Jingjing. "Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms." Security and Communication Networks 2019 (June 16, 2019): 1–11. http://dx.doi.org/10.1155/2019/7130868.
Повний текст джерелаSitienei, Miriam, Ayubu Anapapa, and Argwings Otieno. "Random Forest Regression in Maize Yield Prediction." Asian Journal of Probability and Statistics 23, no. 4 (August 9, 2023): 43–52. http://dx.doi.org/10.9734/ajpas/2023/v23i4511.
Повний текст джерелаXu, Xiaofeng, Ivor W. Tsang, and Chuancai Liu. "Improving Generalization via Attribute Selection on Out-of-the-Box Data." Neural Computation 32, no. 2 (February 2020): 485–514. http://dx.doi.org/10.1162/neco_a_01256.
Повний текст джерелаAbuassba, Adnan Omer, Dezheng Zhang, and Xiong Luo. "A Heterogeneous AdaBoost Ensemble Based Extreme Learning Machines for Imbalanced Data." International Journal of Cognitive Informatics and Natural Intelligence 13, no. 3 (July 2019): 19–35. http://dx.doi.org/10.4018/ijcini.2019070102.
Повний текст джерелаZahedian, Sara, Przemysław Sekuła, Amir Nohekhan, and Zachary Vander Laan. "Estimating Hourly Traffic Volumes using Artificial Neural Network with Additional Inputs from Automatic Traffic Recorders." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 3 (March 2020): 272–82. http://dx.doi.org/10.1177/0361198120910737.
Повний текст джерелаDong, Naghedolfeizi, Aberra, and Zeng. "Spectral–Spatial Discriminant Feature Learning for Hyperspectral Image Classification." Remote Sensing 11, no. 13 (June 29, 2019): 1552. http://dx.doi.org/10.3390/rs11131552.
Повний текст джерелаGonzalez-Sanchez, Alberto, Juan Frausto-Solis, and Waldo Ojeda-Bustamante. "Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/509429.
Повний текст джерелаNajafi-Ghiri, Mahdi, Marzieh Mokarram, and Hamid Reza Owliaie. "Prediction of soil clay minerals from some soil properties with use of feature selection algorithm and ANFIS methods." Soil Research 57, no. 7 (2019): 788. http://dx.doi.org/10.1071/sr18352.
Повний текст джерелаWoodrow, Sarah I., Mark Bernstein, and M. Christopher Wallace. "Safety of intracranial aneurysm surgery performed in a postgraduate training program: implications for training." Journal of Neurosurgery 102, no. 4 (April 2005): 616–21. http://dx.doi.org/10.3171/jns.2005.102.4.0616.
Повний текст джерелаSzyda, J., K. Żukowski, S. Kamiński, and A. Żarnecki. "Testing different single nucleotide polymorphism selection strategies for prediction of genomic breeding values in dairy cattle based on low density panels." Czech Journal of Animal Science 58, No. 3 (March 4, 2013): 136–45. http://dx.doi.org/10.17221/6670-cjas.
Повний текст джерелаHe, Ruimin, Xiaohua Yang, Tengxiang Li, Yaolin He, Xiaoxue Xie, Qilei Chen, Zijian Zhang, and Tingting Cheng. "A Machine Learning-Based Predictive Model of Epidermal Growth Factor Mutations in Lung Adenocarcinomas." Cancers 14, no. 19 (September 25, 2022): 4664. http://dx.doi.org/10.3390/cancers14194664.
Повний текст джерелаChau, K. W., and C. L. Wu. "A hybrid model coupled with singular spectrum analysis for daily rainfall prediction." Journal of Hydroinformatics 12, no. 4 (April 2, 2010): 458–73. http://dx.doi.org/10.2166/hydro.2010.032.
Повний текст джерелаEl-Gawady, Aliaa, Mohamed A. Makhlouf, BenBella S. Tawfik, and Hamed Nassar. "Machine Learning Framework for the Prediction of Alzheimer’s Disease Using Gene Expression Data Based on Efficient Gene Selection." Symmetry 14, no. 3 (February 28, 2022): 491. http://dx.doi.org/10.3390/sym14030491.
Повний текст джерелаMazloom, Reza, Hongmin Li, Doina Caragea, Cornelia Caragea, and Muhammad Imran. "A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets." International Journal of Information Systems for Crisis Response and Management 11, no. 2 (July 2019): 1–19. http://dx.doi.org/10.4018/ijiscram.2019070101.
Повний текст джерелаSharpe, P. K., H. E. Solberg, K. Rootwelt, and M. Yearworth. "Artificial neural networks in diagnosis of thyroid function from in vitro laboratory tests." Clinical Chemistry 39, no. 11 (November 1, 1993): 2248–53. http://dx.doi.org/10.1093/clinchem/39.11.2248.
Повний текст джерелаHensel, Stefan, Marin B. Marinov, Michael Koch, and Dimitar Arnaudov. "Evaluation of Deep Learning-Based Neural Network Methods for Cloud Detection and Segmentation." Energies 14, no. 19 (September 27, 2021): 6156. http://dx.doi.org/10.3390/en14196156.
Повний текст джерелаRamesh, Nisha, Ting Liu, and Tolga Tasdizen. "Cell Detection Using Extremal Regions in a Semisupervised Learning Framework." Journal of Healthcare Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/4080874.
Повний текст джерелаYi, Liu, Diao Xing-chun, Cao Jian-jun, Zhou Xing, and Shang Yu-ling. "A Method for Entity Resolution in High Dimensional Data Using Ensemble Classifiers." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4953280.
Повний текст джерелаMaya Gopal P S and Bhargavi R. "Selection of Important Features for Optimizing Crop Yield Prediction." International Journal of Agricultural and Environmental Information Systems 10, no. 3 (July 2019): 54–71. http://dx.doi.org/10.4018/ijaeis.2019070104.
Повний текст джерелаLiu, Ruidan, and Yu Dong. "Fault Diagnosis of Jointless Track Circuit Based on ReliefF-C4.5 Decision Tree." Journal of Physics: Conference Series 2383, no. 1 (December 1, 2022): 012047. http://dx.doi.org/10.1088/1742-6596/2383/1/012047.
Повний текст джерелаAversa, Rossella, Piero Coronica, Cristiano De Nobili, and Stefano Cozzini. "Deep Learning, Feature Learning, and Clustering Analysis for SEM Image Classification." Data Intelligence 2, no. 4 (October 2020): 513–28. http://dx.doi.org/10.1162/dint_a_00062.
Повний текст джерелаA. Ramezan, Christopher, Timothy A. Warner, and Aaron E. Maxwell. "Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification." Remote Sensing 11, no. 2 (January 18, 2019): 185. http://dx.doi.org/10.3390/rs11020185.
Повний текст джерелаChatterjee, Soumick, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, and Andreas Nürnberger. "DS6: Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data." Journal of Imaging 8, no. 10 (September 22, 2022): 259. http://dx.doi.org/10.3390/jimaging8100259.
Повний текст джерелаOglesby, Leslie W., Andrew R. Gallucci, and Christopher J. Wynveen. "Athletic Trainer Burnout: A Systematic Review of the Literature." Journal of Athletic Training 55, no. 4 (April 1, 2020): 416–30. http://dx.doi.org/10.4085/1062-6050-43-19.
Повний текст джерелаKutyłowska, M. "Forecasting failure rate of water pipes." Water Supply 19, no. 1 (April 13, 2018): 264–73. http://dx.doi.org/10.2166/ws.2018.078.
Повний текст джерелаZhang, Ling, Zixuan Zhang, Zhaohui Xue, and Hao Li. "Sensitive Feature Evaluation for Soil Moisture Retrieval Based on Multi-Source Remote Sensing Data with Few In-Situ Measurements: A Case Study of the Continental U.S." Water 13, no. 15 (July 21, 2021): 2003. http://dx.doi.org/10.3390/w13152003.
Повний текст джерелаBraken, Rebecca, Alexander Paulus, André Pomp, and Tobias Meisen. "An Evaluation of Link Prediction Approaches in Few-Shot Scenarios." Electronics 12, no. 10 (May 19, 2023): 2296. http://dx.doi.org/10.3390/electronics12102296.
Повний текст джерелаSolarz, A., R. Thomas, F. M. Montenegro-Montes, M. Gromadzki, E. Donoso, M. Koprowski, L. Wyrzykowski, C. G. Diaz, E. Sani, and M. Bilicki. "Spectroscopic observations of the machine-learning selected anomaly catalogue from the AllWISE Sky Survey." Astronomy & Astrophysics 642 (October 2020): A103. http://dx.doi.org/10.1051/0004-6361/202038439.
Повний текст джерелаJiang, Bingbing, Xingyu Wu, Kui Yu, and Huanhuan Chen. "Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3983–90. http://dx.doi.org/10.1609/aaai.v33i01.33013983.
Повний текст джерелаTurki, Turki, Zhi Wei, and Jason T. L. Wang. "A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction." Journal of Bioinformatics and Computational Biology 16, no. 03 (June 2018): 1840014. http://dx.doi.org/10.1142/s0219720018400140.
Повний текст джерелаZhang, Ying. "Real-Time Detection of Lower Limb Training Stability Function Based on Smart Wearable Sensors." Journal of Sensors 2022 (July 31, 2022): 1–12. http://dx.doi.org/10.1155/2022/7503668.
Повний текст джерелаHildebrand, J., S. Schulz, R. Richter, and J. Döllner. "SIMULATING LIDAR TO CREATE TRAINING DATA FOR MACHINE LEARNING ON 3D POINT CLOUDS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W2-2022 (October 14, 2022): 105–12. http://dx.doi.org/10.5194/isprs-annals-x-4-w2-2022-105-2022.
Повний текст джерелаPyenson, Bruce, Maggie Alston, Jeffrey Gomberg, Feng Han, Nikhil Khandelwal, Motoharu Dei, Monica Son, and Jaime Vora. "Applying Machine Learning Techniques to Identify Undiagnosed Patients with Exocrine Pancreatic Insufficiency." Journal of Health Economics and Outcomes Research 6, no. 2 (February 14, 2019): 32–46. http://dx.doi.org/10.36469/9727.
Повний текст джерелаPistoia, Jenny, Nadia Pinardi, Paolo Oddo, Matthew Collins, Gerasimos Korres, and Yann Drillet. "Development of super-ensemble techniques for ocean analyses: the Mediterranean Sea case." Natural Hazards and Earth System Sciences 16, no. 8 (August 9, 2016): 1807–19. http://dx.doi.org/10.5194/nhess-16-1807-2016.
Повний текст джерелаMaya Gopal, P. S., and R. Bhargavi. "Optimum Feature Subset for Optimizing Crop Yield Prediction Using Filter and Wrapper Approaches." Applied Engineering in Agriculture 35, no. 1 (2019): 9–14. http://dx.doi.org/10.13031/aea.12938.
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