Artículos de revistas sobre el tema "Regularized approaches"
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G.V., Suresh y Srinivasa Reddy E.V. "Uncertain Data Analysis with Regularized XGBoost". Webology 19, n.º 1 (20 de enero de 2022): 3722–40. http://dx.doi.org/10.14704/web/v19i1/web19245.
Texto completoTaniguchi, Michiaki y Volker Tresp. "Averaging Regularized Estimators". Neural Computation 9, n.º 5 (1 de julio de 1997): 1163–78. http://dx.doi.org/10.1162/neco.1997.9.5.1163.
Texto completoLuft, Daniel y Volker Schulz. "Simultaneous shape and mesh quality optimization using pre-shape calculus". Control and Cybernetics 50, n.º 4 (1 de diciembre de 2021): 473–520. http://dx.doi.org/10.2478/candc-2021-0028.
Texto completoEbadat, Afrooz, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg y Karl H. Johansson. "Regularized Deconvolution-Based Approaches for Estimating Room Occupancies". IEEE Transactions on Automation Science and Engineering 12, n.º 4 (octubre de 2015): 1157–68. http://dx.doi.org/10.1109/tase.2015.2471305.
Texto completoFeng, Hesen, Lihong Ma y Jing Tian. "A Dynamic Convolution Kernel Generation Method Based on Regularized Pattern for Image Super-Resolution". Sensors 22, n.º 11 (1 de junio de 2022): 4231. http://dx.doi.org/10.3390/s22114231.
Texto completoRobitzsch, Alexander. "Implementation Aspects in Regularized Structural Equation Models". Algorithms 16, n.º 9 (18 de septiembre de 2023): 446. http://dx.doi.org/10.3390/a16090446.
Texto completoRobitzsch, Alexander. "Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning". Stats 6, n.º 1 (25 de enero de 2023): 192–208. http://dx.doi.org/10.3390/stats6010012.
Texto completoLeen, Todd K. "From Data Distributions to Regularization in Invariant Learning". Neural Computation 7, n.º 5 (septiembre de 1995): 974–81. http://dx.doi.org/10.1162/neco.1995.7.5.974.
Texto completoFeng, Huijie, Chunpeng Wu, Guoyang Chen, Weifeng Zhang y Yang Ning. "Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 3858–65. http://dx.doi.org/10.1609/aaai.v34i04.5798.
Texto completoZhang, Hong, Dong Lai Hao y Xiang Yang Liu. "A Precoding Strategy for Massive MIMO System". Applied Mechanics and Materials 568-570 (junio de 2014): 1278–81. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1278.
Texto completoKanzawa, Yuchi. "Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data". Journal of Advanced Computational Intelligence and Intelligent Informatics 16, n.º 7 (20 de noviembre de 2012): 784–92. http://dx.doi.org/10.20965/jaciii.2012.p0784.
Texto completovan Erp, Sara. "Bayesian Regularized SEM: Current Capabilities and Constraints". Psych 5, n.º 3 (3 de agosto de 2023): 814–35. http://dx.doi.org/10.3390/psych5030054.
Texto completoKoné, N’Golo. "Regularized Maximum Diversification Investment Strategy". Econometrics 9, n.º 1 (29 de diciembre de 2020): 1. http://dx.doi.org/10.3390/econometrics9010001.
Texto completoChahboun, Souhaila y Mohamed Maaroufi. "Principal Component Analysis and Machine Learning Approaches for Photovoltaic Power Prediction: A Comparative Study". Applied Sciences 11, n.º 17 (27 de agosto de 2021): 7943. http://dx.doi.org/10.3390/app11177943.
Texto completoLao, Qicheng, Xiang Jiang y Mohammad Havaei. "Hypothesis Disparity Regularized Mutual Information Maximization". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 9 (18 de mayo de 2021): 8243–51. http://dx.doi.org/10.1609/aaai.v35i9.17003.
Texto completoHerrera, Roberto H., Sergey Fomel y Mirko van der Baan. "Automatic approaches for seismic to well tying". Interpretation 2, n.º 2 (1 de mayo de 2014): SD9—SD17. http://dx.doi.org/10.1190/int-2013-0130.1.
Texto completoSchmid, Matthias, Olaf Gefeller, Elisabeth Waldmann, Andreas Mayr y Tobias Hepp. "Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso". Methods of Information in Medicine 55, n.º 05 (mayo de 2016): 422–30. http://dx.doi.org/10.3414/me16-01-0033.
Texto completoIosifidis, Alexandros, Anastasios Tefas y Ioannis Pitas. "Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine". International Journal on Artificial Intelligence Tools 24, n.º 05 (octubre de 2015): 1540020. http://dx.doi.org/10.1142/s0218213015400205.
Texto completoGuo, Zheng-Chu y Yiming Ying. "Guaranteed Classification via Regularized Similarity Learning". Neural Computation 26, n.º 3 (marzo de 2014): 497–522. http://dx.doi.org/10.1162/neco_a_00556.
Texto completoPANTOJA, N. R. y H. RAGO. "DISTRIBUTIONAL SOURCES IN GENERAL RELATIVITY: TWO POINT-LIKE EXAMPLES REVISITED". International Journal of Modern Physics D 11, n.º 09 (octubre de 2002): 1479–99. http://dx.doi.org/10.1142/s021827180200213x.
Texto completoStevens, Abby, Rebecca Willett, Antonios Mamalakis, Efi Foufoula-Georgiou, Alejandro Tejedor, James T. Randerson, Padhraic Smyth y Stephen Wright. "Graph-Guided Regularized Regression of Pacific Ocean Climate Variables to Increase Predictive Skill of Southwestern U.S. Winter Precipitation". Journal of Climate 34, n.º 2 (enero de 2021): 737–54. http://dx.doi.org/10.1175/jcli-d-20-0079.1.
Texto completoWard, Eric J., Kristin Marshall y Mark D. Scheuerell. "Regularizing priors for Bayesian VAR applications to large ecological datasets". PeerJ 10 (8 de noviembre de 2022): e14332. http://dx.doi.org/10.7717/peerj.14332.
Texto completoKhattab, Mahmoud M., Akram M. Zeki, Ali A. Alwan, Belgacem Bouallegue, Safaa S. Matter y Abdelmoty M. Ahmed. "Regularized Multiframe Super-Resolution Image Reconstruction Using Linear and Nonlinear Filters". Journal of Electrical and Computer Engineering 2021 (18 de diciembre de 2021): 1–16. http://dx.doi.org/10.1155/2021/8309910.
Texto completoAhrens, Achim, Christian B. Hansen y Mark E. Schaffer. "lassopack: Model selection and prediction with regularized regression in Stata". Stata Journal: Promoting communications on statistics and Stata 20, n.º 1 (marzo de 2020): 176–235. http://dx.doi.org/10.1177/1536867x20909697.
Texto completoJain, Subit K., Deepak Kumar, Manoj Thakur y Rajendra K. Ray. "Proximal Support Vector Machine-Based Hybrid Approach for Edge Detection in Noisy Images". Journal of Intelligent Systems 29, n.º 1 (27 de marzo de 2019): 1315–28. http://dx.doi.org/10.1515/jisys-2017-0566.
Texto completoPark, Minsu, Tae-Hun Kim, Eun-Seok Cho, Heebal Kim y Hee-Seok Oh. "Genomic Selection for Adjacent Genetic Markers of Yorkshire Pigs Using Regularized Regression Approaches". Asian-Australasian Journal of Animal Sciences 27, n.º 12 (16 de octubre de 2014): 1678–83. http://dx.doi.org/10.5713/ajas.2014.14236.
Texto completoPavan Kumar Varma Kothapalli, Et al. "A Linear Regularized Normalized Model for Dyslexia and ADHD Prediction Using Learning Approaches". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 11 (31 de diciembre de 2023): 560–71. http://dx.doi.org/10.17762/ijritcc.v11i11.9994.
Texto completoBröcker, Jochen. "Regularized Logistic Models for Probabilistic Forecasting and Diagnostics". Monthly Weather Review 138, n.º 2 (1 de febrero de 2010): 592–604. http://dx.doi.org/10.1175/2009mwr3126.1.
Texto completoAnastasiadis, Johannes y Michael Heizmann. "GAN-regularized augmentation strategy for spectral datasets". tm - Technisches Messen 89, n.º 4 (5 de febrero de 2022): 278–88. http://dx.doi.org/10.1515/teme-2021-0109.
Texto completoThibault, Alexis, Lénaïc Chizat, Charles Dossal y Nicolas Papadakis. "Overrelaxed Sinkhorn–Knopp Algorithm for Regularized Optimal Transport". Algorithms 14, n.º 5 (30 de abril de 2021): 143. http://dx.doi.org/10.3390/a14050143.
Texto completoAuthier, Matthieu, Anders Galatius, Anita Gilles y Jérôme Spitz. "Of power and despair in cetacean conservation: estimation and detection of trend in abundance with noisy and short time-series". PeerJ 8 (7 de agosto de 2020): e9436. http://dx.doi.org/10.7717/peerj.9436.
Texto completoChen, Jiangjie, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao y Lei Li. "LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 10482–91. http://dx.doi.org/10.1609/aaai.v36i10.21291.
Texto completoWang, Bingyuan, Yao Zhang, Dongyuan Liu, Xuemei Ding, Mai Dan, Tiantian Pan, Huijuan Zhao y Feng Gao. "Sparsity-regularized approaches to directly reconstructing hemodynamic response in brain functional diffuse optical tomography". Applied Optics 58, n.º 4 (25 de enero de 2019): 863. http://dx.doi.org/10.1364/ao.58.000863.
Texto completoHepp, Tobias, Matthias Schmid, Olaf Gefeller, Elisabeth Waldmann y Andreas Mayr. "Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso". Methods of Information in Medicine 58, n.º 01 (11 de enero de 2019): 060. http://dx.doi.org/10.1055/s-0038-1669389.
Texto completoVoronin, Sergey, Dylan Mikesell y Guust Nolet. "Compression approaches for the regularized solutions of linear systems from large-scale inverse problems". GEM - International Journal on Geomathematics 6, n.º 2 (19 de mayo de 2015): 251–94. http://dx.doi.org/10.1007/s13137-015-0073-9.
Texto completoAbdulsamad, Hany, Oleg Arenz, Jan Peters y Gerhard Neumann. "State-Regularized Policy Search for Linearized Dynamical Systems". Proceedings of the International Conference on Automated Planning and Scheduling 27 (5 de junio de 2017): 419–24. http://dx.doi.org/10.1609/icaps.v27i1.13853.
Texto completoChen, Jiqiang, Jie Wan y Litao Ma. "Regularized Discrete Optimal Transport for Class-Imbalanced Classifications". Mathematics 12, n.º 4 (7 de febrero de 2024): 524. http://dx.doi.org/10.3390/math12040524.
Texto completoFang, Qiang, Wenzhuo Zhang y Xitong Wang. "Visual Navigation Using Inverse Reinforcement Learning and an Extreme Learning Machine". Electronics 10, n.º 16 (18 de agosto de 2021): 1997. http://dx.doi.org/10.3390/electronics10161997.
Texto completoYang, Pengcheng, Boxing Chen, Pei Zhang y Xu Sun. "Visual Agreement Regularized Training for Multi-Modal Machine Translation". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 05 (3 de abril de 2020): 9418–25. http://dx.doi.org/10.1609/aaai.v34i05.6484.
Texto completoLARSEN, CHRISTOPHER J., CHRISTOPH ORTNER y ENDRE SÜLI. "EXISTENCE OF SOLUTIONS TO A REGULARIZED MODEL OF DYNAMIC FRACTURE". Mathematical Models and Methods in Applied Sciences 20, n.º 07 (julio de 2010): 1021–48. http://dx.doi.org/10.1142/s0218202510004520.
Texto completoJahan, Sohana, Moriyam Akter, Sifta Yeasmin y Farhana Ahmed Simi. "Facial Expression Identification using Regularized Supervised Distance Preserving Projection". Dhaka University Journal of Science 69, n.º 2 (1 de diciembre de 2021): 70–75. http://dx.doi.org/10.3329/dujs.v69i2.56485.
Texto completoZhang, Hong, Dong Lai Hao y Xiang Yang Liu. "A Precoding Algorithm Based on Truncated Polynomial Expansion for Massive MIMO System". Advanced Materials Research 945-949 (junio de 2014): 2315–18. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2315.
Texto completoRobitzsch, Alexander. "Model-Robust Estimation of Multiple-Group Structural Equation Models". Algorithms 16, n.º 4 (17 de abril de 2023): 210. http://dx.doi.org/10.3390/a16040210.
Texto completoCHEN, WEN-SHENG, PONG CHI YUEN, JIAN HUANG y BIN FANG. "TWO-STEP SINGLE PARAMETER REGULARIZATION FISHER DISCRIMINANT METHOD FOR FACE RECOGNITION". International Journal of Pattern Recognition and Artificial Intelligence 20, n.º 02 (marzo de 2006): 189–207. http://dx.doi.org/10.1142/s0218001406004600.
Texto completoBender, Philipp, Dirk Honecker, Mathias Bersweiler, Rocio Costo, Tamara Kahmann, Frank Ludwig, Jon Leiner y Johanna K. Jochum. "Robust approaches for model-free small-angle scattering data analysis". Journal of Applied Crystallography 55, n.º 3 (28 de mayo de 2022): 586–91. http://dx.doi.org/10.1107/s1600576722004356.
Texto completoWU, XIAN, JIANHUANG LAI y XILIN CHEN. "RANK-1 TENSOR PROJECTION VIA REGULARIZED REGRESSION FOR ACTION CLASSIFICATION". International Journal of Wavelets, Multiresolution and Information Processing 09, n.º 06 (noviembre de 2011): 1025–41. http://dx.doi.org/10.1142/s0219691311004420.
Texto completoAlenezi, Fayadh y K. C. Santosh. "Geometric Regularized Hopfield Neural Network for Medical Image Enhancement". International Journal of Biomedical Imaging 2021 (22 de enero de 2021): 1–12. http://dx.doi.org/10.1155/2021/6664569.
Texto completoHadj-Rabah, Karima, Gilda Schirinzi, Alessandra Budillon, Faiza Hocine y Aichouche Belhadj-Aissa. "Non-Parametric Tomographic SAR Reconstruction via Improved Regularized MUSIC". Remote Sensing 15, n.º 6 (15 de marzo de 2023): 1599. http://dx.doi.org/10.3390/rs15061599.
Texto completoZuo, Xin, Hong-Zhi Wei y Chun-Rong Chen. "Continuity Results and Error Bounds on Pseudomonotone Vector Variational Inequalities via Scalarization". Journal of Function Spaces 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/7297854.
Texto completoLee, Ching-pei y Kai-Wei Chang. "Distributed block-diagonal approximation methods for regularized empirical risk minimization". Machine Learning 109, n.º 4 (18 de diciembre de 2019): 813–52. http://dx.doi.org/10.1007/s10994-019-05859-2.
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