From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models.

B. Wang, A. Sekhon, и Y. Qi. ICML, том 80 из Proceedings of Machine Learning Research, стр. 5148-5157. PMLR, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Hao Wang

Hanchun Wang

Lei Wang

Другие публикации лиц с тем же именем

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.R. Singh, A. Sekhon, K. Kowsari, J. Lanchantin, B. Wang, и Y. Qi. ECML/PKDD (1), том 10534 из Lecture Notes in Computer Science, стр. 356-373. Springer, (2017)Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models.J. Zhang, и B. Wang. CoRR, (2019)Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network.B. Wang, J. Zhang, Y. Zhang, M. Wang, и S. Wang. ACM Trans. Sens. Networks, 17 (3): 23:1-23:33 (2021)Fast and scalable learning of sparse changes in high-dimensional graphical model structure.B. Wang, J. Zhang, H. Xu, и T. Tao. Neurocomputing, (2022)Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data.X. Tan, Y. Shen, M. Wang, и B. Wang. CIKM, стр. 2382-2391. ACM, (2023)A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models.B. Wang, A. Sekhon, и Y. Qi. ICML, том 80 из Proceedings of Machine Learning Research, стр. 5148-5157. PMLR, (2018)Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.B. Wang, A. Sekhon, и Y. Qi. AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1691-1700. PMLR, (2018)Collaborative Estimating Multiple Gaussian Graphical Models on Resource Constrained Devices in IoT Networks.Y. Zhan, и B. Wang. SMC, стр. 3583-3588. IEEE, (2023)DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples.J. Gao, B. Wang, Z. Lin, W. Xu, и Y. Qi. ICLR (Workshop), OpenReview.net, (2017)Label Information Enhanced Fraud Detection against Low Homophily in Graphs.Y. Wang, J. Zhang, Z. Huang, W. Li, S. Feng, Z. Ma, Y. Sun, D. Yu, F. Dong, J. Jin и 2 other автор(ы). WWW, стр. 406-416. ACM, (2023)

BibSonomy

Disambiguation