Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning

Maddouri, Omar; Qian, Xiaoning; Alexander, Francis J.; Dougherty, Edward R.; Yoon, Byung-Jun

doi:10.1016/j.patter.2021.100428

Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning

Journal Article · Tue Mar 01 00:00:00 EST 2022 · Patterns

DOI:https://doi.org/10.1016/j.patter.2021.100428· OSTI ID:1841777

; Qian, Xiaoning; Alexander, Francis J.; Dougherty, Edward R.;

Not Available

View Journal Article

Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE; USDOE Office of Science (SC), Advanced Scientific Computing Research

Grant/Contract Number:: SC0012704; SC0019303

OSTI ID:: 1841777

Alternate ID(s):: OSTI ID: 1878301
OSTI ID: 1879417

Report Number(s):: BNL-223172-2022-JAAM; BNL-223186-2022-JAAM; S2666389921003111; 100428; PII: S2666389921003111

Journal Information:: Patterns, Journal Name: Patterns Journal Issue: 3 Vol. 3; ISSN 2666-3899

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (22)

A new use of importance sampling to reduce computational burden in simulation estimation Ackerberg, Daniel A. Quantitative Marketing and Economics, Vol. 7, Issue 4 https://doi.org/10.1007/s11129-009-9074-z	journal	August 2009
Discrete optimal Bayesian classification with error-conditioned sequential sampling Broumand, Ariana; Esfahani, Mohammad Shahrokh; Yoon, Byung-Jun Pattern Recognition, Vol. 48, Issue 11 https://doi.org/10.1016/j.patcog.2015.03.023	journal	November 2015
Gene expression elucidates functional impact of polygenic risk for schizophrenia Fromer, Menachem; Roussos, Panos; Sieberts, Solveig K. Nature Neuroscience, Vol. 19, Issue 11 https://doi.org/10.1038/nn.4399	journal	September 2016
Novel approach to nonlinear/non-Gaussian Bayesian state estimation Gordon, N. J.; Salmond, D. J.; Smith, A. F. M. IEE Proceedings F Radar and Signal Processing, Vol. 140, Issue 2 https://doi.org/10.1049/ip-f-2.1993.0015	journal	January 1993
Is cross-validation valid for small-sample microarray classification? Braga-Neto, U. M.; Dougherty, E. R. Bioinformatics, Vol. 20, Issue 3 https://doi.org/10.1093/bioinformatics/btg419	journal	February 2004
Cancer Biomarkers: Can We Turn Recent Failures into Success? Diamandis, E. P. JNCI Journal of the National Cancer Institute, Vol. 102, Issue 19 https://doi.org/10.1093/jnci/djq306	journal	August 2010
Quantifying the Multi-Objective Cost of Uncertainty Yoon, Byung-Jun; Qian, Xiaoning; Dougherty, Edward R. IEEE Access, Vol. 9 https://doi.org/10.1109/ACCESS.2021.3085486	journal	January 2021
Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty Dehghannasiri, Roozbeh; Dougherty, Edward R. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 12, Issue 4 https://doi.org/10.1109/TCBB.2014.2377733	journal	July 2015
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification Boluki, Shahin; Esfahani, Mohammad Shahrokh; Qian, Xiaoning IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 16, Issue 2 https://doi.org/10.1109/TCBB.2017.2778715	journal	March 2019
A Survey on Transfer Learning Pan, Sinno Jialin; Yang, Qiang IEEE Transactions on Knowledge and Data Engineering, Vol. 22, Issue 10 https://doi.org/10.1109/TKDE.2009.191	journal	October 2010
Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification Dalton, Lori A.; Dougherty, Edward R. IEEE Transactions on Signal Processing, Vol. 59, Issue 1 https://doi.org/10.1109/TSP.2010.2084572	journal	January 2011
Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part II: Linear Classification of Gaussian Models Dalton, Lori A.; Dougherty, Edward R. IEEE Transactions on Signal Processing, Vol. 59, Issue 1 https://doi.org/10.1109/TSP.2010.2084573	journal	January 2011
Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems Yoon, Byung-Jun; Qian, Xiaoning; Dougherty, Edward R. IEEE Transactions on Signal Processing, Vol. 61, Issue 9 https://doi.org/10.1109/TSP.2013.2251336	journal	May 2013
Optimal Bayesian Transfer Learning Karbalayghareh, Alireza; Qian, Xiaoning; Dougherty, Edward R. IEEE Transactions on Signal Processing, Vol. 66, Issue 14 https://doi.org/10.1109/TSP.2018.2839583	journal	July 2018
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems Zhao, Guang; Qian, Xiaoning; Yoon, Byung-Jun IEEE Transactions on Signal Processing, Vol. 68 https://doi.org/10.1109/TSP.2020.3001384	journal	January 2020
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning Woo, Hyun-Myung; Hong, Youngjoon; Kwon, Bongsuk IEEE Transactions on Signal Processing, Vol. 69 https://doi.org/10.1109/TSP.2021.3130967	journal	January 2021
Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap Gandal, Michael J.; Haney, Jillian R.; Parikshak, Neelroop N. Science, Vol. 359, Issue 6376 https://doi.org/10.1126/science.aad6469	journal	February 2018
Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve Gossmann, Alexej; Pezeshk, Aria; Wang, Yu-Ping SIAM Journal on Mathematics of Data Science, Vol. 3, Issue 2 https://doi.org/10.1137/20M1333110	journal	January 2021
Epistemology of Computational Biology: Mathematical Models and Experimental Prediction as the Basis of Their Validity Dougherty, Edward R.; Braga-Neto, Ulisses Journal of Biological Systems, Vol. 14, Issue 01 https://doi.org/10.1142/S0218339006001726	journal	March 2006
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks Dehghannasiri, Roozbeh; Yoon, Byung-Jun; Dougherty, Edward R. BMC Bioinformatics, Vol. 16, Issue 1 https://doi.org/10.1186/s12859-015-0839-y	journal	December 2015
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors Boluki, Shahin; Esfahani, Mohammad Shahrokh; Qian, Xiaoning BMC Bioinformatics, Vol. 18, Issue S14 https://doi.org/10.1186/s12859-017-1893-4	journal	December 2017
Controversies regarding and perspectives on clinical utility of biomarkers in hepatocellular carcinoma Song, Pei-Pei World Journal of Gastroenterology, Vol. 22, Issue 1 https://doi.org/10.3748/wjg.v22.i1.262	journal	January 2016

Similar Records

Synthetic data for design and evaluation of binary classifiers in the context of Bayesian transfer learning

Journal Article · Tue May 31 20:00:00 EDT 2022 · Data in Brief · OSTI ID:1861465

Related Subjects

97 MATHEMATICS AND COMPUTING
99 GENERAL AND MISCELLANEOUS
Bayesian error estimator
classification
error estimation
importance sampling
model uncertainty
optimal Bayesian transfer learning (OBTL)
ptimal Bayesian transfer learning (OBTL)
transfer learning

Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning

Citation Formats

References (22)

Similar Records

Related Subjects