Artículos de revistas sobre el tema "Kernel-based model"
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Nishiyama, Yu, Motonobu Kanagawa, Arthur Gretton y Kenji Fukumizu. "Model-based kernel sum rule: kernel Bayesian inference with probabilistic models". Machine Learning 109, n.º 5 (2 de enero de 2020): 939–72. http://dx.doi.org/10.1007/s10994-019-05852-9.
Texto completoZong, Xinlu, Chunzhi Wang y Hui Xu. "Density-based Adaptive Wavelet Kernel SVM Model for P2P Traffic Classification". International Journal of Future Generation Communication and Networking 6, n.º 6 (31 de diciembre de 2013): 25–36. http://dx.doi.org/10.14257/ijfgcn.2013.6.6.04.
Texto completoShim, Jooyong y Changha Hwang. "Kernel-based orthogonal quantile regression model". Model Assisted Statistics and Applications 12, n.º 3 (30 de agosto de 2017): 217–26. http://dx.doi.org/10.3233/mas-170396.
Texto completoSu, Zhi-gang, Pei-hong Wang y Zhao-long Song. "Kernel based nonlinear fuzzy regression model". Engineering Applications of Artificial Intelligence 26, n.º 2 (febrero de 2013): 724–38. http://dx.doi.org/10.1016/j.engappai.2012.05.009.
Texto completoWang, Zhijie, Mohamed Ben Salah, Hong Zhang y Nilanjan Ray. "Shape based appearance model for kernel tracking". Image and Vision Computing 30, n.º 4-5 (mayo de 2012): 332–44. http://dx.doi.org/10.1016/j.imavis.2012.03.003.
Texto completoMa, Xin y Zhi-bin Liu. "The kernel-based nonlinear multivariate grey model". Applied Mathematical Modelling 56 (abril de 2018): 217–38. http://dx.doi.org/10.1016/j.apm.2017.12.010.
Texto completoLingyu, Liang, Wenqi Huang, Zhaojie Dong, Jiguang Zhao, Peng Li, Bingfang Lu y 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.
Texto completoFan, Yanqin y Qi Li. "CONSISTENT MODEL SPECIFICATION TESTS". Econometric Theory 16, n.º 6 (diciembre de 2000): 1016–41. http://dx.doi.org/10.1017/s0266466600166083.
Texto completoZhai, Yuejing, Zhouzheng Li y Haizhong Liu. "Multi-Angle Fast Neural Tangent Kernel Classifier". Applied Sciences 12, n.º 21 (26 de octubre de 2022): 10876. http://dx.doi.org/10.3390/app122110876.
Texto completoSegera, Davies, Mwangi Mbuthia y Abraham Nyete. "Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis". BioMed Research International 2019 (16 de diciembre de 2019): 1–11. http://dx.doi.org/10.1155/2019/4085725.
Texto completoAbakar, Khalid AA y 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, n.º 1 (11 de junio de 2018): 72. http://dx.doi.org/10.23956/ijermt.v7i1.25.
Texto completoTian, Jinkai, Peifeng Yan y Da Huang. "Kernel Analysis Based on Dirichlet Processes Mixture Models". Entropy 21, n.º 9 (2 de septiembre de 2019): 857. http://dx.doi.org/10.3390/e21090857.
Texto completoElaissi, Ilyes, Okba Taouali y Messaoud Hassani. "Online Prediction Model Based on New Kernel Method". International Review of Automatic Control (IREACO) 7, n.º 1 (31 de enero de 2014): 107. http://dx.doi.org/10.15866/ireaco.v7i1.1299.
Texto completoWu, Xiao-hong y Jian-jiang Zhou. "Modified possibilistic clustering model based on kernel methods". Journal of Shanghai University (English Edition) 12, n.º 2 (abril de 2008): 136–40. http://dx.doi.org/10.1007/s11741-008-0210-2.
Texto completoZhang, Zhihua, James T. Kwok y Dit-Yan Yeung. "Model-based transductive learning of the kernel matrix". Machine Learning 63, n.º 1 (9 de marzo de 2006): 69–101. http://dx.doi.org/10.1007/s10994-006-6130-8.
Texto completoSun, Jian Ping y Lin Tao Hu. "Application of Status Monitoring of Wind Turbines Based on Relevance Vector Machine Regression". Advanced Materials Research 347-353 (octubre de 2011): 2337–41. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2337.
Texto completoLi, Jianliang, Xiaohai Li, Robert Lugg y Lawrence S. Melvin. "Kernel Count Reduction in Model Based Optical Proximity Correction Process Models". Japanese Journal of Applied Physics 48, n.º 6 (22 de junio de 2009): 06FA05. http://dx.doi.org/10.1143/jjap.48.06fa05.
Texto completoQi, Jinshan, Xun Liang y 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.
Texto completoYang, Hong, Lipeng Gao y Guohui Li. "Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine". Complexity 2020 (24 de abril de 2020): 1–17. http://dx.doi.org/10.1155/2020/6947059.
Texto completoLuo, Dang y Zhang Huihui. "Grey clustering model based on kernel and information field". Grey Systems: Theory and Application 10, n.º 1 (1 de noviembre de 2019): 56–67. http://dx.doi.org/10.1108/gs-08-2019-0029.
Texto completoSenGupta, Ishuita, Anil Kumar y Rakesh Kumar Dwivedi. "Assimilation of Standard Regularizer Contextual Model and Composite Kernel with Fuzzy-based Noise Classifier". Journal of Modeling and Optimization 11, n.º 1 (15 de junio de 2019): 16–24. http://dx.doi.org/10.32732/jmo.2019.11.1.16.
Texto completoNadim, Mohammad, Wonjun Lee y David Akopian. "Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training". Electronic Imaging 2021, n.º 3 (18 de junio de 2021): 34–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-034.
Texto completoChristmann, Andreas y Ding-Xuan Zhou. "Learning rates for the risk of kernel-based quantile regression estimators in additive models". Analysis and Applications 14, n.º 03 (13 de abril de 2016): 449–77. http://dx.doi.org/10.1142/s0219530515500050.
Texto completoShim, Jooyong, Sang Bum Lee, Daiwon Kim, Jung-Suk Yu y Chanha Hwang. "Kernel-based spatial error model for analyzing spatial panel data". Model Assisted Statistics and Applications 15, n.º 3 (9 de octubre de 2020): 239–48. http://dx.doi.org/10.3233/mas-200491.
Texto completoPillonetto, Gianluigi, Tianshi Chen y Lennart Ljung. "Kernel-based model order selection for linear system identification". IFAC Proceedings Volumes 46, n.º 11 (2013): 257–62. http://dx.doi.org/10.3182/20130703-3-fr-4038.00043.
Texto completoChoklati, A. y K. Sabri. "Cyclic Analysis of Extra Heart Sounds:Gauss Kernel based Model". International Journal of Image, Graphics and Signal Processing 10, n.º 5 (8 de mayo de 2018): 1–14. http://dx.doi.org/10.5815/ijigsp.2018.05.01.
Texto completoHan, R., Z. Jing y Y. Li. "Kernel based visual tracking with variant spatial resolution model". Electronics Letters 44, n.º 8 (2008): 517. http://dx.doi.org/10.1049/el:20080051.
Texto completoGao, F. "Detecting vegetation structure using a kernel-based BRDF model". Remote Sensing of Environment 86, n.º 2 (30 de julio de 2003): 198–205. http://dx.doi.org/10.1016/s0034-4257(03)00100-7.
Texto completoWang, Yong, Xinbin Luo, Lu Ding, Shan Fu y Shiqiang Hu. "Collaborative model based UAV tracking via local kernel feature". Applied Soft Computing 72 (noviembre de 2018): 90–107. http://dx.doi.org/10.1016/j.asoc.2018.07.049.
Texto completoYanxiang, Fang, Shen Changxiang, Xu Jingdong y Wu Gongyi. "A separated domain-based kernel model for trusted computing". Wuhan University Journal of Natural Sciences 11, n.º 6 (noviembre de 2006): 1424–28. http://dx.doi.org/10.1007/bf02831789.
Texto completoYu, Changyong, Chengtang Yao, Mingtao Pei y Yunde Jia. "Diffusion-based kernel matrix model for face liveness detection". Image and Vision Computing 89 (septiembre de 2019): 88–94. http://dx.doi.org/10.1016/j.imavis.2019.06.009.
Texto completoIkeda, Sei ichi y Yoshiharu Sato. "Kernel methods for regression model based on variable selection". International Journal of Knowledge Engineering and Soft Data Paradigms 1, n.º 1 (2009): 49. http://dx.doi.org/10.1504/ijkesdp.2009.021984.
Texto completoSuykens, Johan A. K., Carlos Alzate y 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.
Texto completoWu, Xiaohong y Jianjiang Zhou. "Fuzzy principal component analysis and its Kernel-based model". Journal of Electronics (China) 24, n.º 6 (noviembre de 2007): 772–75. http://dx.doi.org/10.1007/s11767-006-0039-z.
Texto completoKUDLAI, Vladyslav, Nataliia BONDARENKO y Viktor BONDARENKO. "CONSTRUCTION AND VERIFICATION OF A DIGITAL EQUALIZER MODEL". Herald of Khmelnytskyi National University. Technical sciences 313, n.º 5 (27 de octubre de 2022): 178–84. http://dx.doi.org/10.31891/2307-5732-2022-313-5-178-184.
Texto completoGu, Lch, Zhw Ni y Zhj Wu. "Study of Predictive Method Based on SVM Optimal Model Selection". Applied Mechanics and Materials 65 (junio de 2011): 443–46. http://dx.doi.org/10.4028/www.scientific.net/amm.65.443.
Texto completoFeng, Jun, Jian-Zhou Zhang y 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.
Texto completoGao, Xiangbing, Bo Jia, Gen Li y Xiaojing Ma. "Calorific Value Forecasting of Coal Gangue with Hybrid Kernel Function–Support Vector Regression and Genetic Algorithm". Energies 15, n.º 18 (14 de septiembre de 2022): 6718. http://dx.doi.org/10.3390/en15186718.
Texto completoKari, Tusongjiang, Wensheng Gao, Ayiguzhali Tuluhong, Yilihamu Yaermaimaiti y Ziwei Zhang. "Mixed Kernel Function Support Vector Regression with Genetic Algorithm for Forecasting Dissolved Gas Content in Power Transformers". Energies 11, n.º 9 (14 de septiembre de 2018): 2437. http://dx.doi.org/10.3390/en11092437.
Texto completoJue, Wang. "Prediction model of pulmonary tuberculosis based on gray kernel AR-SVM model". Cluster Computing 22, S2 (17 de febrero de 2018): 4383–87. http://dx.doi.org/10.1007/s10586-018-1906-8.
Texto completoMa, 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.
Texto completoGuo, Changying, Biqin Song, Yingjie Wang, Hong Chen y Huijuan Xiong. "Robust Variable Selection and Estimation Based on Kernel Modal Regression". Entropy 21, n.º 4 (16 de abril de 2019): 403. http://dx.doi.org/10.3390/e21040403.
Texto completoNie, Junlan, Ruibo Gao y Ye Kang. "Urban Noise Inference Model Based on Multiple Views and Kernel Tensor Decomposition". Fluctuation and Noise Letters 20, n.º 03 (25 de enero de 2021): 2150027. http://dx.doi.org/10.1142/s0219477521500279.
Texto completoLee, Kuan-Hui, Jenq-Neng Hwang y 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, n.º 1 (enero de 2015): 38–50. http://dx.doi.org/10.1109/tcsvt.2014.2329355.
Texto completoIkeda, Seiichi y Yoshiharu Sato. "Kernel Canonical Discriminant Analysis Based on Variable Selection". Journal of Advanced Computational Intelligence and Intelligent Informatics 13, n.º 4 (20 de julio de 2009): 416–20. http://dx.doi.org/10.20965/jaciii.2009.p0416.
Texto completoTang, Yidong, Shucai Huang y 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.
Texto completoYang, Xiao Han, Di Suo y Fuan Wen. "The General Embedded Kernel Simulation System Model". Advanced Materials Research 459 (enero de 2012): 58–62. http://dx.doi.org/10.4028/www.scientific.net/amr.459.58.
Texto completoGuo, Luo, Zhihai Ma y Lianjun Zhang. "Comparison of bandwidth selection in application of geographically weighted regression: a case study". Canadian Journal of Forest Research 38, n.º 9 (septiembre de 2008): 2526–34. http://dx.doi.org/10.1139/x08-091.
Texto completoPan, Lizheng, Dashuai Zhu, Shigang She, Aiguo Song, Xianchuan Shi y 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, n.º 11 (noviembre de 2018): 168781401881103. http://dx.doi.org/10.1177/1687814018811036.
Texto completoCHEN, BADONG, JOSE C. PRINCIPE, JINCHUN HU y YU ZHU. "STOCHASTIC INFORMATION GRADIENT ALGORITHM WITH GENERALIZED GAUSSIAN DISTRIBUTION MODEL". Journal of Circuits, Systems and Computers 21, n.º 01 (febrero de 2012): 1250006. http://dx.doi.org/10.1142/s0218126612500065.
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