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290,937 results

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Page 1
Survey on Multi-Output Learning.
Xu D, Shi Y, Tsang IW, Ong YS, Gong C, Shen X. Xu D, et al. IEEE Trans Neural Netw Learn Syst. 2020 Jul;31(7):2409-2429. doi: 10.1109/TNNLS.2019.2945133. Epub 2019 Nov 6. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 31714241
The aim of multi-output learning is to simultaneously predict multiple outputs given an input. It is an important learning problem for decision-making since making decisions in the real world often involves multiple complex factors and criteria. In recent times, an …
The aim of multi-output learning is to simultaneously predict multiple outputs given an input. It is an important learning pro …
Regulation strategies for two-output biomolecular networks.
Alexis E, Schulte CCM, Cardelli L, Papachristodoulou A. Alexis E, et al. J R Soc Interface. 2023 Aug;20(205):20230174. doi: 10.1098/rsif.2023.0174. Epub 2023 Aug 2. J R Soc Interface. 2023. PMID: 37528680 Free PMC article.
Here, we study control schemes for biomolecular processes with two outputs of interest, expanding previously described concepts based on single-output systems. Regulation of such processes may unlock new design possibilities but can be challenging due to coupling in …
Here, we study control schemes for biomolecular processes with two outputs of interest, expanding previously described concepts based …
Metric Learning for Multi-Output Tasks.
Liu W, Xu D, Tsang IW, Zhang W. Liu W, et al. IEEE Trans Pattern Anal Mach Intell. 2019 Feb;41(2):408-422. doi: 10.1109/TPAMI.2018.2794976. Epub 2018 Jan 18. IEEE Trans Pattern Anal Mach Intell. 2019. PMID: 29994178
Multi-output learning with the task of simultaneously predicting multiple outputs for an input has increasingly attracted interest from researchers due to its wide application. ...In particular, we present a novel large margin metric learning paradigm for multi-o …
Multi-output learning with the task of simultaneously predicting multiple outputs for an input has increasingly attracted inte …
Comparative phylogenetic analysis of milk output at peak lactation.
Riek A. Riek A. Comp Biochem Physiol A Mol Integr Physiol. 2021 Jul;257:110976. doi: 10.1016/j.cbpa.2021.110976. Epub 2021 May 8. Comp Biochem Physiol A Mol Integr Physiol. 2021. PMID: 33974968
However, in the last three decades little attention has been given to the comparative aspects of quantitative milk output and the related nutrient outputs at peak lactation, one of the most energy demanding times for the lactating female. Therefore, the purpose of t …
However, in the last three decades little attention has been given to the comparative aspects of quantitative milk output and the rel …
The digital motor output: a conceptual framework for a meaningful clinical performance metric for a motor neuroprosthesis.
Sawyer A, Cooke L, Ramsey NF, Putrino D. Sawyer A, et al. J Neurointerv Surg. 2024 Apr 23;16(5):443-446. doi: 10.1136/jnis-2023-020316. J Neurointerv Surg. 2024. PMID: 37524520 Review.
Upper extremity movement is typically required to generate the motor outputs that control these interfaces, such as rapidly and accurately navigating and clicking a mouse, or activating a touch screen. ...To evaluate the use of these implanted technologies, there is a need …
Upper extremity movement is typically required to generate the motor outputs that control these interfaces, such as rapidly and accur …
UK paediatric surgical academic output (2005-2020): A cause for concern?
Davenport M, Jawaid WB, Losty PD. Davenport M, et al. J Pediatr Surg. 2021 Dec;56(12):2142-2147. doi: 10.1016/j.jpedsurg.2021.07.023. Epub 2021 Aug 1. J Pediatr Surg. 2021. PMID: 34392970
Textbooks, book chapters, abstracts, duplications ("double dipping") and output attributed to UK BAPS-CASS national studies were excluded. Some output(s), not considered as relevant to "paediatric surgery", was edited. ...CONCLUSIONS: This study highlights current p …
Textbooks, book chapters, abstracts, duplications ("double dipping") and output attributed to UK BAPS-CASS national studies were excl …
Regularized Multi-Output Gaussian Convolution Process With Domain Adaptation.
Wang X, Wang C, Song X, Kirby L, Wu J. Wang X, et al. IEEE Trans Pattern Anal Mach Intell. 2023 May;45(5):6142-6156. doi: 10.1109/TPAMI.2022.3205036. Epub 2023 Apr 3. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 36074880
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outputs. ...More specifically, a sparse covariance matrix of MGP is constructed using convolution process, where penalization terms are added …
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outpu …
Facile Strategy to Output Fluorescein from Nucleic Acid Interactions.
Kim Y, Jang S, Chang C, Kim KT. Kim Y, et al. Bioconjug Chem. 2023 Sep 20;34(9):1606-1612. doi: 10.1021/acs.bioconjchem.3c00276. Epub 2023 Aug 28. Bioconjug Chem. 2023. PMID: 37639511
Biomolecular operations, which involve the conversion of molecular signals or interactions into specific functional outputs, are fundamental to the field of biology and serve as the important foundation for the design of diagnostic and therapeutic systems. To maximize thei …
Biomolecular operations, which involve the conversion of molecular signals or interactions into specific functional outputs, are fund …
Which Contributes to Clinical Performance: Academic Output or Person-Environment Fit?
Dong M, Xiao Y, Shi C, Zeng W, Wu F, Li G. Dong M, et al. Front Public Health. 2022 Mar 4;10:801917. doi: 10.3389/fpubh.2022.801917. eCollection 2022. Front Public Health. 2022. PMID: 35309226 Free PMC article.
Hospitals in China have included academic outputs in the promotion criteria to incentive medical clinicians to engage in scientific research so that to improve job performance (JP). ...Linear multilevel regression was conducted to examine the relationship between clinical …
Hospitals in China have included academic outputs in the promotion criteria to incentive medical clinicians to engage in scientific r …
Output Feedback Q-Learning for Linear-Quadratic Discrete-Time Finite-Horizon Control Problems.
Calafiore GC, Possieri C. Calafiore GC, et al. IEEE Trans Neural Netw Learn Syst. 2021 Jul;32(7):3274-3281. doi: 10.1109/TNNLS.2020.3010304. Epub 2021 Jul 6. IEEE Trans Neural Netw Learn Syst. 2021. PMID: 32745011
An algorithm is proposed to determine output feedback policies that solve finite-horizon linear-quadratic (LQ) optimal control problems without requiring knowledge of the system dynamical matrices. ...It is then shown how they can be parameterized as functions of the input …
An algorithm is proposed to determine output feedback policies that solve finite-horizon linear-quadratic (LQ) optimal control proble …
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