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Michael I Jordan

Showing results (21-30 of 60) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Nested Hierarchical Dirichlet ProcessesJohn Paisley, Chong Wang, David M Blei, et al.
American Journal of Human Genetics|November 26, 2008
Association mapping and significance estimation via the coalescentGad Kimmel, Richard M Karp, Michael I Jordan, et al.
Proceedings. IEEE Computer Society Bioinformatics Conference|February 3, 2006
LOGOS: a modular Bayesian model for de novo motif detectionEric P Xing, Wei Wu, Michael I Jordan, et al.
Journal of Bioinformatics and Computational Biology|July 24, 2004
Logos: a modular bayesian model for de novo motif detectionEric P Xing, Wei Wu, Michael I Jordan, et al.
Journal of Machine Learning Research : JMLR|April 23, 2019
Saturating Splines and Feature SelectionNicholas Boyd, Trevor Hastie, Stephen Boyd, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 7, 2018
Transferable Representation Learning with Deep Adaptation NetworksMingsheng Long, Yue Cao, Zhangjie Cao, et al.
Genome Biology|November 16, 2024
VI-VS: calibrated identification of feature dependencies in single-cell multiomicsPierre Boyeau, Stephen Bates, Can Ergen, et al.
Genome Research|July 26, 2011
Genome-scale phylogenetic function annotation of large and diverse protein familiesBarbara E Engelhardt, Michael I Jordan, John R Srouji, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 18, 2022
Conformal prediction under feedback covariate shift for biomolecular designClara Fannjiang, Stephen Bates, Anastasios N Angelopoulos, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 2, 2019
Sampling can be faster than optimizationYi-An Ma, Yuansi Chen, Chi Jin, et al.
Pageof 6

Showing results (21-30 of 60) with videos related to

Sort By:
Pageof 6
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Nested Hierarchical Dirichlet ProcessesJohn Paisley, Chong Wang, David M Blei, et al.
American Journal of Human Genetics|November 26, 2008
Association mapping and significance estimation via the coalescentGad Kimmel, Richard M Karp, Michael I Jordan, et al.
Proceedings. IEEE Computer Society Bioinformatics Conference|February 3, 2006
LOGOS: a modular Bayesian model for de novo motif detectionEric P Xing, Wei Wu, Michael I Jordan, et al.
Journal of Bioinformatics and Computational Biology|July 24, 2004
Logos: a modular bayesian model for de novo motif detectionEric P Xing, Wei Wu, Michael I Jordan, et al.
Journal of Machine Learning Research : JMLR|April 23, 2019
Saturating Splines and Feature SelectionNicholas Boyd, Trevor Hastie, Stephen Boyd, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 7, 2018
Transferable Representation Learning with Deep Adaptation NetworksMingsheng Long, Yue Cao, Zhangjie Cao, et al.
Genome Biology|November 16, 2024
VI-VS: calibrated identification of feature dependencies in single-cell multiomicsPierre Boyeau, Stephen Bates, Can Ergen, et al.
Genome Research|July 26, 2011
Genome-scale phylogenetic function annotation of large and diverse protein familiesBarbara E Engelhardt, Michael I Jordan, John R Srouji, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 18, 2022
Conformal prediction under feedback covariate shift for biomolecular designClara Fannjiang, Stephen Bates, Anastasios N Angelopoulos, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 2, 2019
Sampling can be faster than optimizationYi-An Ma, Yuansi Chen, Chi Jin, et al.
Pageof 6