Artigos de revistas sobre o tema "Bipartite stochastic block model"
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Ndaoud, Mohamed, Suzanne Sigalla e Alexandre B. Tsybakov. "Improved Clustering Algorithms for the Bipartite Stochastic Block Model". IEEE Transactions on Information Theory 68, n.º 3 (março de 2022): 1960–75. http://dx.doi.org/10.1109/tit.2021.3130683.
Texto completo da fonteBolla, Marianna, e Ahmed Elbanna. "Estimating Parameters of a Probabilistic Heterogeneous Block Model via the EM Algorithm". Journal of Probability and Statistics 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/657965.
Texto completo da fonteWang, Guo-Zheng, Li Xiong e Hu-Chen Liu. "A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks". Scientific Programming 2019 (9 de dezembro de 2019): 1–12. http://dx.doi.org/10.1155/2019/9471201.
Texto completo da fonteWang, Yurun, Pu Zhao, Senkai Xie e Wenjia Zhang. "Mesoscale Structure in Urban–Rural Mobility Networks in the Pearl River Delta Area: A Weighted Stochastic Block Modeling Analysis". ISPRS International Journal of Geo-Information 12, n.º 5 (27 de abril de 2023): 183. http://dx.doi.org/10.3390/ijgi12050183.
Texto completo da fonteBalzer, Laura, Patrick Staples, Jukka-Pekka Onnela e Victor DeGruttola. "Using a network-based approach and targeted maximum likelihood estimation to evaluate the effect of adding pre-exposure prophylaxis to an ongoing test-and-treat trial". Clinical Trials 14, n.º 2 (26 de janeiro de 2017): 201–10. http://dx.doi.org/10.1177/1740774516679666.
Texto completo da fonteXu, Zhijuan, Xueyan Liu, Xianjuan Cui, Ximing Li e Bo Yang. "Robust stochastic block model". Neurocomputing 379 (fevereiro de 2020): 398–412. http://dx.doi.org/10.1016/j.neucom.2019.10.069.
Texto completo da fonteWu, Xunxun, Chang-Dong Wang e Pengfei Jiao. "Hybrid-order Stochastic Block Model". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 5 (18 de maio de 2021): 4470–77. http://dx.doi.org/10.1609/aaai.v35i5.16574.
Texto completo da fonteZhang, Yun, Kehui Chen, Allan Sampson, Kai Hwang e Beatriz Luna. "Node Features Adjusted Stochastic Block Model". Journal of Computational and Graphical Statistics 28, n.º 2 (27 de fevereiro de 2019): 362–73. http://dx.doi.org/10.1080/10618600.2018.1530117.
Texto completo da fonteZhao, Feng, Min Ye e Shao-Lun Huang. "Exact Recovery of Stochastic Block Model by Ising Model". Entropy 23, n.º 1 (2 de janeiro de 2021): 65. http://dx.doi.org/10.3390/e23010065.
Texto completo da fonteMoyal, Pascal, Ana Bušić e Jean Mairesse. "A product form for the general stochastic matching model". Journal of Applied Probability 58, n.º 2 (junho de 2021): 449–68. http://dx.doi.org/10.1017/jpr.2020.100.
Texto completo da fonteArcuri, Alesandro, e Nicolas Lanchier. "Stochastic spatial model for the division of labor in social insects". Mathematical Models and Methods in Applied Sciences 27, n.º 01 (janeiro de 2017): 45–73. http://dx.doi.org/10.1142/s0218202517400024.
Texto completo da fonteAbbe, Emmanuel, Afonso S. Bandeira e Georgina Hall. "Exact Recovery in the Stochastic Block Model". IEEE Transactions on Information Theory 62, n.º 1 (janeiro de 2016): 471–87. http://dx.doi.org/10.1109/tit.2015.2490670.
Texto completo da fonteLelarge, Marc, Laurent Massoulie e Jiaming Xu. "Reconstruction in the Labelled Stochastic Block Model". IEEE Transactions on Network Science and Engineering 2, n.º 4 (1 de outubro de 2015): 152–63. http://dx.doi.org/10.1109/tnse.2015.2490580.
Texto completo da fonteRastelli, Riccardo, e Michael Fop. "A stochastic block model for interaction lengths". Advances in Data Analysis and Classification 14, n.º 2 (junho de 2020): 485–512. http://dx.doi.org/10.1007/s11634-020-00403-w.
Texto completo da fonteLatouche, Pierre, Etienne Birmelé e Christophe Ambroise. "Model selection in overlapping stochastic block models". Electronic Journal of Statistics 8, n.º 1 (2014): 762–94. http://dx.doi.org/10.1214/14-ejs903.
Texto completo da fonteSun, Ya, Meiyi Wang e Hua Xie. "Volatility analysis of the flight block time based on the stochastic volatility model". Journal of Physics: Conference Series 2489, n.º 1 (1 de maio de 2023): 012002. http://dx.doi.org/10.1088/1742-6596/2489/1/012002.
Texto completo da fonteLi, Yang, Hechang Chen e Bo Yang. "Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions". IEEE Access 6 (2018): 37615–26. http://dx.doi.org/10.1109/access.2018.2853115.
Texto completo da fonteNeal, Zachary P., e Jennifer Watling Neal. "Illustrating the importance of edge constraints in backbones of bipartite projections". PLOS ONE 19, n.º 5 (10 de maio de 2024): e0302973. http://dx.doi.org/10.1371/journal.pone.0302973.
Texto completo da fonteBecker, Ann-Kristin, e Hajo Holzmann. "Nonparametric Identification in the Dynamic Stochastic Block Model". IEEE Transactions on Information Theory 65, n.º 7 (julho de 2019): 4335–44. http://dx.doi.org/10.1109/tit.2019.2893947.
Texto completo da fonteCaltagirone, Francesco, Marc Lelarge e Leo Miolane. "Recovering Asymmetric Communities in the Stochastic Block Model". IEEE Transactions on Network Science and Engineering 5, n.º 3 (1 de julho de 2018): 237–46. http://dx.doi.org/10.1109/tnse.2017.2758201.
Texto completo da fonteWang, Y. X. Rachel, e Peter J. Bickel. "Likelihood-based model selection for stochastic block models". Annals of Statistics 45, n.º 2 (abril de 2017): 500–528. http://dx.doi.org/10.1214/16-aos1457.
Texto completo da fontePensky, Marianna, e Teng Zhang. "Spectral clustering in the dynamic stochastic block model". Electronic Journal of Statistics 13, n.º 1 (2019): 678–709. http://dx.doi.org/10.1214/19-ejs1533.
Texto completo da fonteChen, Haoran, Zhongjing Yu, Qinli Yang e Junming Shao. "Attributed graph clustering with subspace stochastic block model". Information Sciences 535 (outubro de 2020): 130–41. http://dx.doi.org/10.1016/j.ins.2020.05.044.
Texto completo da fonteCoulson, Matthew, Robert E. Gaunt e Gesine Reinert. "Compound Poisson approximation of subgraph counts in stochastic block models with multiple edges". Advances in Applied Probability 50, n.º 3 (setembro de 2018): 759–82. http://dx.doi.org/10.1017/apr.2018.35.
Texto completo da fontePal, Soumik, e Yizhe Zhu. "Community detection in the sparse hypergraph stochastic block model". Random Structures & Algorithms 59, n.º 3 (14 de março de 2021): 407–63. http://dx.doi.org/10.1002/rsa.21006.
Texto completo da fonteAnastos, Michael, Alan Frieze e Pu Gao. "Hamiltonicity of Random Graphs in the Stochastic Block Model". SIAM Journal on Discrete Mathematics 35, n.º 3 (janeiro de 2021): 1854–80. http://dx.doi.org/10.1137/19m1296069.
Texto completo da fonteLu, Y. N., e E. J. Ding. "Self-organized criticality in a stochastic spring-block model". Physical Review E 48, n.º 1 (1 de julho de 1993): R21—R24. http://dx.doi.org/10.1103/physreve.48.r21.
Texto completo da fonteSrinivas, B., S. Gajanana e K. Hemachandra Reddy. "Forecasted Inflation Based Block Replacement Model Using Stochastic Process". Applied Mechanics and Materials 592-594 (julho de 2014): 2716–22. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2716.
Texto completo da fonteAhn, Kwangjun, Kangwook Lee e Changho Suh. "Hypergraph Spectral Clustering in the Weighted Stochastic Block Model". IEEE Journal of Selected Topics in Signal Processing 12, n.º 5 (outubro de 2018): 959–74. http://dx.doi.org/10.1109/jstsp.2018.2837638.
Texto completo da fonteXin, Lu, Mu Zhu e Hugh Chipman. "A continuous-time stochastic block model for basketball networks". Annals of Applied Statistics 11, n.º 2 (junho de 2017): 553–97. http://dx.doi.org/10.1214/16-aoas993.
Texto completo da fonteLi, Shuping, e Xiaorong Zhao. "Network percolation of the disease transmission based on bipartite networks". International Journal of Modern Physics B 34, n.º 06 (24 de fevereiro de 2020): 2050029. http://dx.doi.org/10.1142/s0217979220500290.
Texto completo da fonteGraczyk, Małgorzata, e Bronisław Ceranka. "A Regular D‑optimal Weighing Design with Negative Correlations of Errors". Acta Universitatis Lodziensis. Folia Oeconomica 5, n.º 344 (30 de setembro de 2019): 7–16. http://dx.doi.org/10.18778/0208-6018.344.01.
Texto completo da fonteAuconi, Andrea, Andrea Giansanti e Edda Klipp. "Information Thermodynamics for Time Series of Signal-Response Models". Entropy 21, n.º 2 (14 de fevereiro de 2019): 177. http://dx.doi.org/10.3390/e21020177.
Texto completo da fonteWu, Huaying, Luoyi Fu, Huan Long, Guie Meng, Xiaoying Gan, Yuanhao Wu, Haisong Zhang e Xinbing Wang. "Unraveling the Detectability of Stochastic Block Model With Overlapping Communities". IEEE Transactions on Network Science and Engineering 8, n.º 2 (1 de abril de 2021): 1443–55. http://dx.doi.org/10.1109/tnse.2021.3058520.
Texto completo da fonteYe, Min. "Exact Recovery and Sharp Thresholds of Stochastic Ising Block Model". IEEE Transactions on Information Theory 67, n.º 12 (dezembro de 2021): 8207–35. http://dx.doi.org/10.1109/tit.2021.3117264.
Texto completo da fonteYe, Min. "Exact Recovery and Sharp Thresholds of Stochastic Ising Block Model". IEEE Transactions on Information Theory 67, n.º 12 (dezembro de 2021): 8207–35. http://dx.doi.org/10.1109/tit.2021.3117264.
Texto completo da fonteCHAI, Bian-Fang, Jian YU, Cai-Yan JIA e Jing-Hong WANG. "Fast Algorithm on Stochastic Block Model for Exploring General Communities". Journal of Software 24, n.º 11 (3 de janeiro de 2014): 2699–709. http://dx.doi.org/10.3724/sp.j.1001.2013.04474.
Texto completo da fonteStanley, Natalie, Saray Shai, Dane Taylor e Peter J. Mucha. "Clustering Network Layers with the Strata Multilayer Stochastic Block Model". IEEE Transactions on Network Science and Engineering 3, n.º 2 (1 de abril de 2016): 95–105. http://dx.doi.org/10.1109/tnse.2016.2537545.
Texto completo da fonteZhang, Yue, e Mingao Yuan. "Nonreconstruction of high-dimensional stochastic block model with bounded degree". Statistics & Probability Letters 158 (março de 2020): 108675. http://dx.doi.org/10.1016/j.spl.2019.108675.
Texto completo da fonteQing, Huan, e Jingli Wang. "Regularized spectral clustering under the mixed membership stochastic block model". Neurocomputing 550 (setembro de 2023): 126490. http://dx.doi.org/10.1016/j.neucom.2023.126490.
Texto completo da fonteSpaulding, Travis, Nicholas Strayer, Andrew Sochacki, Shannon Stockton, Alexander Silver, Rodney Dixon Dorand, Siwei Zhang, Ya-Chen Lin, Yaomin Xu e Michael R. Savona. "Patient-Specific Risk Factors Independently Influence Survival in Myelodysplastic Syndromes in an Unbiased Review of EHR Records". Blood 134, Supplement_1 (13 de novembro de 2019): 5440. http://dx.doi.org/10.1182/blood-2019-122400.
Texto completo da fonteHan, Jie, Tao Guo, Qiaoqiao Zhou, Wei Han, Bo Bai e Gong Zhang. "Structural Entropy of the Stochastic Block Models". Entropy 24, n.º 1 (3 de janeiro de 2022): 81. http://dx.doi.org/10.3390/e24010081.
Texto completo da fontePenocchio, Emanuele, Francesco Avanzini e Massimiliano Esposito. "Information thermodynamics for deterministic chemical reaction networks". Journal of Chemical Physics 157, n.º 3 (21 de julho de 2022): 034110. http://dx.doi.org/10.1063/5.0094849.
Texto completo da fonteVo, Thi Phuong Thuy. "Chain-referral sampling on stochastic block models". ESAIM: Probability and Statistics 24 (2020): 718–38. http://dx.doi.org/10.1051/ps/2020025.
Texto completo da fonteCeranka, Bronisław, e Małgorzata Graczyk. "New Results Regarding the Construction Method for D‑optimal Chemical Balance Weighing Designs". Acta Universitatis Lodziensis. Folia Oeconomica 4, n.º 349 (23 de novembro de 2020): 129–41. http://dx.doi.org/10.18778/0208-6018.349.08.
Texto completo da fonteVasovic, Nebojsa, Srdjan Kostic, Kristina Todorovic e Dragoslav Kuzmanovic. "Synchronization conditions for stochastic landslide chain model with delayed coupling". Theoretical and Applied Mechanics, n.º 00 (2024): 1. http://dx.doi.org/10.2298/tam230927001v.
Texto completo da fonteKataoka, Shun, Takuto Kobayashi, Muneki Yasuda e Kazuyuki Tanaka. "Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering". Journal of the Physical Society of Japan 85, n.º 11 (15 de novembro de 2016): 114802. http://dx.doi.org/10.7566/jpsj.85.114802.
Texto completo da fonteCerqueira, Andressa, e Florencia Leonardi. "Estimation of the Number of Communities in the Stochastic Block Model". IEEE Transactions on Information Theory 66, n.º 10 (outubro de 2020): 6403–12. http://dx.doi.org/10.1109/tit.2020.3016331.
Texto completo da fonteMatias, Catherine, e Vincent Miele. "Statistical clustering of temporal networks through a dynamic stochastic block model". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79, n.º 4 (22 de agosto de 2016): 1119–41. http://dx.doi.org/10.1111/rssb.12200.
Texto completo da fonteXu, Min, Varun Jog e Po-Ling Loh. "Optimal rates for community estimation in the weighted stochastic block model". Annals of Statistics 48, n.º 1 (fevereiro de 2020): 183–204. http://dx.doi.org/10.1214/18-aos1797.
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