Статті в журналах з теми "Kernel-based model"
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Nishiyama, Yu, Motonobu Kanagawa, Arthur Gretton, and Kenji Fukumizu. "Model-based kernel sum rule: kernel Bayesian inference with probabilistic models." Machine Learning 109, no. 5 (January 2, 2020): 939–72. http://dx.doi.org/10.1007/s10994-019-05852-9.
Повний текст джерелаZong, Xinlu, Chunzhi Wang, and Hui Xu. "Density-based Adaptive Wavelet Kernel SVM Model for P2P Traffic Classification." International Journal of Future Generation Communication and Networking 6, no. 6 (December 31, 2013): 25–36. http://dx.doi.org/10.14257/ijfgcn.2013.6.6.04.
Повний текст джерелаShim, Jooyong, and Changha Hwang. "Kernel-based orthogonal quantile regression model." Model Assisted Statistics and Applications 12, no. 3 (August 30, 2017): 217–26. http://dx.doi.org/10.3233/mas-170396.
Повний текст джерелаSu, Zhi-gang, Pei-hong Wang, and Zhao-long Song. "Kernel based nonlinear fuzzy regression model." Engineering Applications of Artificial Intelligence 26, no. 2 (February 2013): 724–38. http://dx.doi.org/10.1016/j.engappai.2012.05.009.
Повний текст джерелаWang, Zhijie, Mohamed Ben Salah, Hong Zhang, and Nilanjan Ray. "Shape based appearance model for kernel tracking." Image and Vision Computing 30, no. 4-5 (May 2012): 332–44. http://dx.doi.org/10.1016/j.imavis.2012.03.003.
Повний текст джерелаMa, Xin, and Zhi-bin Liu. "The kernel-based nonlinear multivariate grey model." Applied Mathematical Modelling 56 (April 2018): 217–38. http://dx.doi.org/10.1016/j.apm.2017.12.010.
Повний текст джерелаLingyu, Liang, Wenqi Huang, Zhaojie Dong, Jiguang Zhao, Peng Li, Bingfang Lu, and Xinde Zhu. "Short-term power load forecasting based on combined kernel Gaussian process hybrid model." E3S Web of Conferences 256 (2021): 01009. http://dx.doi.org/10.1051/e3sconf/202125601009.
Повний текст джерелаFan, Yanqin, and Qi Li. "CONSISTENT MODEL SPECIFICATION TESTS." Econometric Theory 16, no. 6 (December 2000): 1016–41. http://dx.doi.org/10.1017/s0266466600166083.
Повний текст джерелаZhai, Yuejing, Zhouzheng Li, and Haizhong Liu. "Multi-Angle Fast Neural Tangent Kernel Classifier." Applied Sciences 12, no. 21 (October 26, 2022): 10876. http://dx.doi.org/10.3390/app122110876.
Повний текст джерелаSegera, Davies, Mwangi Mbuthia, and Abraham Nyete. "Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis." BioMed Research International 2019 (December 16, 2019): 1–11. http://dx.doi.org/10.1155/2019/4085725.
Повний текст джерелаAbakar, Khalid AA, and Chongwen Yu. "The Spinning Quality Control Management Based on Decision Making by Data Mining Techniques." International Journal of Emerging Research in Management and Technology 7, no. 1 (June 11, 2018): 72. http://dx.doi.org/10.23956/ijermt.v7i1.25.
Повний текст джерелаTian, Jinkai, Peifeng Yan, and Da Huang. "Kernel Analysis Based on Dirichlet Processes Mixture Models." Entropy 21, no. 9 (September 2, 2019): 857. http://dx.doi.org/10.3390/e21090857.
Повний текст джерелаElaissi, Ilyes, Okba Taouali, and Messaoud Hassani. "Online Prediction Model Based on New Kernel Method." International Review of Automatic Control (IREACO) 7, no. 1 (January 31, 2014): 107. http://dx.doi.org/10.15866/ireaco.v7i1.1299.
Повний текст джерелаWu, Xiao-hong, and Jian-jiang Zhou. "Modified possibilistic clustering model based on kernel methods." Journal of Shanghai University (English Edition) 12, no. 2 (April 2008): 136–40. http://dx.doi.org/10.1007/s11741-008-0210-2.
Повний текст джерелаZhang, Zhihua, James T. Kwok, and Dit-Yan Yeung. "Model-based transductive learning of the kernel matrix." Machine Learning 63, no. 1 (March 9, 2006): 69–101. http://dx.doi.org/10.1007/s10994-006-6130-8.
Повний текст джерелаSun, Jian Ping, and Lin Tao Hu. "Application of Status Monitoring of Wind Turbines Based on Relevance Vector Machine Regression." Advanced Materials Research 347-353 (October 2011): 2337–41. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2337.
Повний текст джерелаLi, Jianliang, Xiaohai Li, Robert Lugg, and Lawrence S. Melvin. "Kernel Count Reduction in Model Based Optical Proximity Correction Process Models." Japanese Journal of Applied Physics 48, no. 6 (June 22, 2009): 06FA05. http://dx.doi.org/10.1143/jjap.48.06fa05.
Повний текст джерелаQi, Jinshan, Xun Liang, and Rui Xu. "A Multiple Kernel Learning Model Based on p-Norm." Computational Intelligence and Neuroscience 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/1018789.
Повний текст джерелаYang, Hong, Lipeng Gao, and Guohui Li. "Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine." Complexity 2020 (April 24, 2020): 1–17. http://dx.doi.org/10.1155/2020/6947059.
Повний текст джерелаLuo, Dang, and Zhang Huihui. "Grey clustering model based on kernel and information field." Grey Systems: Theory and Application 10, no. 1 (November 1, 2019): 56–67. http://dx.doi.org/10.1108/gs-08-2019-0029.
Повний текст джерелаSenGupta, Ishuita, Anil Kumar, and Rakesh Kumar Dwivedi. "Assimilation of Standard Regularizer Contextual Model and Composite Kernel with Fuzzy-based Noise Classifier." Journal of Modeling and Optimization 11, no. 1 (June 15, 2019): 16–24. http://dx.doi.org/10.32732/jmo.2019.11.1.16.
Повний текст джерелаNadim, Mohammad, Wonjun Lee, and David Akopian. "Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training." Electronic Imaging 2021, no. 3 (June 18, 2021): 34–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-034.
Повний текст джерелаChristmann, Andreas, and Ding-Xuan Zhou. "Learning rates for the risk of kernel-based quantile regression estimators in additive models." Analysis and Applications 14, no. 03 (April 13, 2016): 449–77. http://dx.doi.org/10.1142/s0219530515500050.
Повний текст джерелаShim, Jooyong, Sang Bum Lee, Daiwon Kim, Jung-Suk Yu, and Chanha Hwang. "Kernel-based spatial error model for analyzing spatial panel data." Model Assisted Statistics and Applications 15, no. 3 (October 9, 2020): 239–48. http://dx.doi.org/10.3233/mas-200491.
Повний текст джерелаPillonetto, Gianluigi, Tianshi Chen, and Lennart Ljung. "Kernel-based model order selection for linear system identification." IFAC Proceedings Volumes 46, no. 11 (2013): 257–62. http://dx.doi.org/10.3182/20130703-3-fr-4038.00043.
Повний текст джерелаChoklati, A., and K. Sabri. "Cyclic Analysis of Extra Heart Sounds:Gauss Kernel based Model." International Journal of Image, Graphics and Signal Processing 10, no. 5 (May 8, 2018): 1–14. http://dx.doi.org/10.5815/ijigsp.2018.05.01.
Повний текст джерелаHan, R., Z. Jing, and Y. Li. "Kernel based visual tracking with variant spatial resolution model." Electronics Letters 44, no. 8 (2008): 517. http://dx.doi.org/10.1049/el:20080051.
Повний текст джерелаGao, F. "Detecting vegetation structure using a kernel-based BRDF model." Remote Sensing of Environment 86, no. 2 (July 30, 2003): 198–205. http://dx.doi.org/10.1016/s0034-4257(03)00100-7.
Повний текст джерелаWang, Yong, Xinbin Luo, Lu Ding, Shan Fu, and Shiqiang Hu. "Collaborative model based UAV tracking via local kernel feature." Applied Soft Computing 72 (November 2018): 90–107. http://dx.doi.org/10.1016/j.asoc.2018.07.049.
Повний текст джерелаYanxiang, Fang, Shen Changxiang, Xu Jingdong, and Wu Gongyi. "A separated domain-based kernel model for trusted computing." Wuhan University Journal of Natural Sciences 11, no. 6 (November 2006): 1424–28. http://dx.doi.org/10.1007/bf02831789.
Повний текст джерелаYu, Changyong, Chengtang Yao, Mingtao Pei, and Yunde Jia. "Diffusion-based kernel matrix model for face liveness detection." Image and Vision Computing 89 (September 2019): 88–94. http://dx.doi.org/10.1016/j.imavis.2019.06.009.
Повний текст джерелаIkeda, Sei ichi, and Yoshiharu Sato. "Kernel methods for regression model based on variable selection." International Journal of Knowledge Engineering and Soft Data Paradigms 1, no. 1 (2009): 49. http://dx.doi.org/10.1504/ijkesdp.2009.021984.
Повний текст джерелаSuykens, Johan A. K., Carlos Alzate, and Kristiaan Pelckmans. "Primal and dual model representations in kernel-based learning." Statistics Surveys 4 (2010): 148–83. http://dx.doi.org/10.1214/09-ss052.
Повний текст джерелаWu, Xiaohong, and Jianjiang Zhou. "Fuzzy principal component analysis and its Kernel-based model." Journal of Electronics (China) 24, no. 6 (November 2007): 772–75. http://dx.doi.org/10.1007/s11767-006-0039-z.
Повний текст джерелаKUDLAI, Vladyslav, Nataliia BONDARENKO, and Viktor BONDARENKO. "CONSTRUCTION AND VERIFICATION OF A DIGITAL EQUALIZER MODEL." Herald of Khmelnytskyi National University. Technical sciences 313, no. 5 (October 27, 2022): 178–84. http://dx.doi.org/10.31891/2307-5732-2022-313-5-178-184.
Повний текст джерелаGu, Lch, Zhw Ni, and Zhj Wu. "Study of Predictive Method Based on SVM Optimal Model Selection." Applied Mechanics and Materials 65 (June 2011): 443–46. http://dx.doi.org/10.4028/www.scientific.net/amm.65.443.
Повний текст джерелаFeng, Jun, Jian-Zhou Zhang, and Bin Zhou. "Compact Support FDK Kernel Reconstruction Model Base on Approximate Inverse." Mathematical Problems in Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/109534.
Повний текст джерелаGao, Xiangbing, Bo Jia, Gen Li, and Xiaojing Ma. "Calorific Value Forecasting of Coal Gangue with Hybrid Kernel Function–Support Vector Regression and Genetic Algorithm." Energies 15, no. 18 (September 14, 2022): 6718. http://dx.doi.org/10.3390/en15186718.
Повний текст джерелаKari, Tusongjiang, Wensheng Gao, Ayiguzhali Tuluhong, Yilihamu Yaermaimaiti, and Ziwei Zhang. "Mixed Kernel Function Support Vector Regression with Genetic Algorithm for Forecasting Dissolved Gas Content in Power Transformers." Energies 11, no. 9 (September 14, 2018): 2437. http://dx.doi.org/10.3390/en11092437.
Повний текст джерелаJue, Wang. "Prediction model of pulmonary tuberculosis based on gray kernel AR-SVM model." Cluster Computing 22, S2 (February 17, 2018): 4383–87. http://dx.doi.org/10.1007/s10586-018-1906-8.
Повний текст джерелаMa, Xin. "Research on a Novel Kernel Based Grey Prediction Model and Its Applications." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/5471748.
Повний текст джерелаGuo, Changying, Biqin Song, Yingjie Wang, Hong Chen, and Huijuan Xiong. "Robust Variable Selection and Estimation Based on Kernel Modal Regression." Entropy 21, no. 4 (April 16, 2019): 403. http://dx.doi.org/10.3390/e21040403.
Повний текст джерелаNie, Junlan, Ruibo Gao, and Ye Kang. "Urban Noise Inference Model Based on Multiple Views and Kernel Tensor Decomposition." Fluctuation and Noise Letters 20, no. 03 (January 25, 2021): 2150027. http://dx.doi.org/10.1142/s0219477521500279.
Повний текст джерелаLee, Kuan-Hui, Jenq-Neng Hwang, and Shih-I. Chen. "Model-Based Vehicle Localization Based on 3-D Constrained Multiple-Kernel Tracking." IEEE Transactions on Circuits and Systems for Video Technology 25, no. 1 (January 2015): 38–50. http://dx.doi.org/10.1109/tcsvt.2014.2329355.
Повний текст джерелаIkeda, Seiichi, and Yoshiharu Sato. "Kernel Canonical Discriminant Analysis Based on Variable Selection." Journal of Advanced Computational Intelligence and Intelligent Informatics 13, no. 4 (July 20, 2009): 416–20. http://dx.doi.org/10.20965/jaciii.2009.p0416.
Повний текст джерелаTang, Yidong, Shucai Huang, and Aijun Xue. "Sparse Representation Based Binary Hypothesis Model for Hyperspectral Image Classification." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3460281.
Повний текст джерелаYang, Xiao Han, Di Suo, and Fuan Wen. "The General Embedded Kernel Simulation System Model." Advanced Materials Research 459 (January 2012): 58–62. http://dx.doi.org/10.4028/www.scientific.net/amr.459.58.
Повний текст джерелаGuo, Luo, Zhihai Ma, and Lianjun Zhang. "Comparison of bandwidth selection in application of geographically weighted regression: a case study." Canadian Journal of Forest Research 38, no. 9 (September 2008): 2526–34. http://dx.doi.org/10.1139/x08-091.
Повний текст джерелаPan, Lizheng, Dashuai Zhu, Shigang She, Aiguo Song, Xianchuan Shi, and Suolin Duan. "Gear fault diagnosis method based on wavelet-packet independent component analysis and support vector machine with kernel function fusion." Advances in Mechanical Engineering 10, no. 11 (November 2018): 168781401881103. http://dx.doi.org/10.1177/1687814018811036.
Повний текст джерелаCHEN, BADONG, JOSE C. PRINCIPE, JINCHUN HU, and YU ZHU. "STOCHASTIC INFORMATION GRADIENT ALGORITHM WITH GENERALIZED GAUSSIAN DISTRIBUTION MODEL." Journal of Circuits, Systems and Computers 21, no. 01 (February 2012): 1250006. http://dx.doi.org/10.1142/s0218126612500065.
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