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Maxim Grechkin
Maryam Fazel
Daniela Witten
Su-In Lee

Showing results (1-10 of 142) with videos related to

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Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|July 14, 2015
Pathway Graphical LassoMaxim Grechkin, Maryam Fazel, Daniela Witten, et al.
Journal of Machine Learning Research : JMLR|October 14, 2014
Node-Based Learning of Multiple Gaussian Graphical ModelsKarthik Mohan, Palma London, Maryam Fazel, et al.
Journal of Machine Learning Research : JMLR|January 27, 2015
Learning Graphical Models With HubsKean Ming Tan, Palma London, Karthik Mohan, et al.
Advances in Neural Information Processing Systems|November 1, 2014
Structured Learning of Gaussian Graphical ModelsKarthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, et al.
Plos Computational Biology|May 5, 2016
Identifying Network Perturbation in CancerMaxim Grechkin, Benjamin A Logsdon, Andrew J Gentles, et al.
Plos Biology|June 9, 2017
Wide-Open: Accelerating public data release by automating detection of overdue datasetsMaxim Grechkin, Hoifung Poon, Bill Howe
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|July 25, 2020
Flexible and Interpretable Models for Survival DataJiacheng Wu, Daniela Witten
The Annals of Applied Statistics|January 11, 2019
EXACT SPIKE TRAIN INFERENCE VIA ℓ<sub>0</sub> OPTIMIZATIONSean Jewell, Daniela Witten
Statistics in Medicine|July 17, 2018
Data-adaptive additive modelingAshley Petersen, Daniela Witten
Electronic Journal of Statistics|September 13, 2016
Statistical properties of convex clusteringKean Ming Tan, Daniela Witten
Pageof 15

Showing results (1-10 of 142) with videos related to

Sort By:
Pageof 15
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|July 14, 2015
Pathway Graphical LassoMaxim Grechkin, Maryam Fazel, Daniela Witten, et al.
Journal of Machine Learning Research : JMLR|October 14, 2014
Node-Based Learning of Multiple Gaussian Graphical ModelsKarthik Mohan, Palma London, Maryam Fazel, et al.
Journal of Machine Learning Research : JMLR|January 27, 2015
Learning Graphical Models With HubsKean Ming Tan, Palma London, Karthik Mohan, et al.
Advances in Neural Information Processing Systems|November 1, 2014
Structured Learning of Gaussian Graphical ModelsKarthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, et al.
Plos Computational Biology|May 5, 2016
Identifying Network Perturbation in CancerMaxim Grechkin, Benjamin A Logsdon, Andrew J Gentles, et al.
Plos Biology|June 9, 2017
Wide-Open: Accelerating public data release by automating detection of overdue datasetsMaxim Grechkin, Hoifung Poon, Bill Howe
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|July 25, 2020
Flexible and Interpretable Models for Survival DataJiacheng Wu, Daniela Witten
The Annals of Applied Statistics|January 11, 2019
EXACT SPIKE TRAIN INFERENCE VIA ℓ<sub>0</sub> OPTIMIZATIONSean Jewell, Daniela Witten
Statistics in Medicine|July 17, 2018
Data-adaptive additive modelingAshley Petersen, Daniela Witten
Electronic Journal of Statistics|September 13, 2016
Statistical properties of convex clusteringKean Ming Tan, Daniela Witten
Pageof 15