Search Results - expectation maximum-convex optimization algorithm
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A Hybrid Health Monitoring Approach for Aircraft Flight Control Systems With System-Level Degradation
ISSN: 0278-0046, 1557-9948Published: New York IEEE 01.07.2023Published in IEEE transactions on industrial electronics (1982) (01.07.2023)“… An expectation maximum-convex optimization algorithm is innovatively proposed to identify the model parameters…”
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Journal Article -
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Backward joint model and dynamic prediction of survival with multivariate longitudinal data
ISSN: 0277-6715, 1097-0258, 1097-0258Published: England Wiley Subscription Services, Inc 10.09.2021Published in Statistics in medicine (10.09.2021)“…An important approach to dynamic prediction of time‐to‐event outcomes using longitudinal data is based on modeling the joint distribution of longitudinal and…”
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Journal Article -
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Multi-time slots real-time pricing strategy with power fluctuation caused by operating continuity of smart home appliances
ISSN: 0952-1976, 1873-6769Published: Elsevier Ltd 01.05.2018Published in Engineering applications of artificial intelligence (01.05.2018)“… In this research, we propose an expectation social welfare maximization model, considering the classification of the smart home appliances (SHA…”
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Journal Article -
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FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 21.07.2018Published in arXiv.org (21.07.2018)“…Recent studies found that in voxel-based neuroimage analysis, detecting and differentiating "procedural bias" that are introduced during the preprocessing…”
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Paper -
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A Geometric Approach to Dynamical System: Global Analysis for Non-convex Optimization
ISBN: 9798641899879Published: ProQuest Dissertations & Theses 01.01.2020“… In this thesis, we study two popular non-convex optimization problems along with two popular algorithms…”
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Dissertation -
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Parametric Characterization of Multimodal Distributions with Non-gaussian Modes
ISBN: 1467300055, 9781467300056ISSN: 2375-9232Published: IEEE 01.12.2011Published in 2011 IEEE 11th International Conference on Data Mining Workshops (01.12.2011)“… and an efficient learning algorithm, which scales very well with both the dimension and the size of a dataset…”
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