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Yiming Ying

Showing results (1-10 of 13) with videos related to

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Neural Computation|September 1, 2010
Rademacher chaos complexities for learning the kernel problemYiming Ying, Colin Campbell
Neural Computation|February 19, 2016
Online Pairwise Learning AlgorithmsYiming Ying, Ding-Xuan Zhou
Neural Computation|December 11, 2013
Guaranteed classification via regularized similarity learningZheng-Chu Guo, Yiming Ying
BMC Bioinformatics|August 28, 2009
Enhanced protein fold recognition through a novel data integration approachYiming Ying, Kaizhu Huang, Colin Campbell
Statistical Applications in Genetics and Molecular Biology|July 4, 2009
Bayesian unsupervised learning with multiple data typesPhaedra Agius, Yiming Ying, Colin Campbell
BMC Proceedings|December 19, 2008
A marginalized variational bayesian approach to the analysis of array dataYiming Ying, Peng Li, Colin Campbell
Biomed Research International|April 16, 2015
Probabilistic inference of biological networks via data integrationMark F Rogers, Colin Campbell, Yiming Ying
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 6, 2020
Average Top-k Aggregate Loss for Supervised LearningSiwei Lyu, Yanbo Fan, Yiming Ying, et al.
Neural Computation|November 18, 2024
Generalization Guarantees of Gradient Descent for Shallow Neural NetworksPuyu Wang, Yunwen Lei, Di Wang, et al.
Bioinformatics (Oxford, England)|March 25, 2023
Unmixing biological fluorescence image data with sparse and low-rank Poisson regressionRuogu Wang, Alex A Lemus, Colin M Henneberry, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neural Computation|September 1, 2010
Rademacher chaos complexities for learning the kernel problemYiming Ying, Colin Campbell
Neural Computation|February 19, 2016
Online Pairwise Learning AlgorithmsYiming Ying, Ding-Xuan Zhou
Neural Computation|December 11, 2013
Guaranteed classification via regularized similarity learningZheng-Chu Guo, Yiming Ying
BMC Bioinformatics|August 28, 2009
Enhanced protein fold recognition through a novel data integration approachYiming Ying, Kaizhu Huang, Colin Campbell
Statistical Applications in Genetics and Molecular Biology|July 4, 2009
Bayesian unsupervised learning with multiple data typesPhaedra Agius, Yiming Ying, Colin Campbell
BMC Proceedings|December 19, 2008
A marginalized variational bayesian approach to the analysis of array dataYiming Ying, Peng Li, Colin Campbell
Biomed Research International|April 16, 2015
Probabilistic inference of biological networks via data integrationMark F Rogers, Colin Campbell, Yiming Ying
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 6, 2020
Average Top-k Aggregate Loss for Supervised LearningSiwei Lyu, Yanbo Fan, Yiming Ying, et al.
Neural Computation|November 18, 2024
Generalization Guarantees of Gradient Descent for Shallow Neural NetworksPuyu Wang, Yunwen Lei, Di Wang, et al.
Bioinformatics (Oxford, England)|March 25, 2023
Unmixing biological fluorescence image data with sparse and low-rank Poisson regressionRuogu Wang, Alex A Lemus, Colin M Henneberry, et al.
Pageof 2