Showing 261 - 280 results of 1,292 for search '"Bayesian"', query time: 0.05s Refine Results
  1. 261

    Evaluating the Lifetime Performance Index Based on the Bayesian Estimation for the Rayleigh Lifetime Products with the Upper Record Values by Wen-Chuan Lee, Jong-Wuu Wu, Ching-Wen Hong, Shie-Fan Hong

    Published 2013-01-01
    “…This study constructs a Bayesian estimator of CL under a Rayleigh distribution with the upper record values. …”
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    Article
  2. 262

    Genotype-Based Bayesian Analysis of Gene-Environment Interactions with Multiple Genetic Markers and Misclassification in Environmental Factors by Iryna Lobach, Ruzong Fan

    Published 2012-01-01
    “…We develop a genotype based Bayesian pseudolikelihood approach that accommodates linkage disequilibrium in genetic markers and misclassification in environmental factors. …”
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    Article
  3. 263

    Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation by E. Shehaj, E. Shehaj, S. Leroy, K. Cahoy, A. Geiger, L. Crocetti, G. Moeller, G. Moeller, B. Soja, M. Rothacher

    Published 2025-01-01
    “…</p> <p>In this work, we investigate the potential of machine learning (ML) to construct RO climatologies and compare the results of an ML construction with Bayesian interpolation (BI), a state-of-the-art method to generate maps of RO products. …”
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    Addressing Distribution Discrepancies in Pulsar Candidate Identification via Bayesian-neural-network-based Multimodal Incremental Learning by Yi Liu, Jing Jin, Hongyang Zhao, Zhenyi Wang, Yi Shen

    Published 2025-01-01
    “…To address this, our study introduces a multimodal incremental learning approach utilizing Bayesian neural networks. This method enables the model to adapt to new data distributions while preserving the knowledge of previous data. …”
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    Article
  7. 267

    Comparative diagnostic performance of imaging modalities in chronic pancreatitis: a systematic review and Bayesian network meta-analysis by Ping Yu, Xujia Zhou, Li Yue, Ling Zhang, Yuan Zhou, Fei Jiang

    Published 2025-01-01
    “…Abstract Purpose We aimed to perform a Bayesian network meta-analysis to assess the comparative diagnostic performance of different imaging modalities in chronic pancreatitis(CP). …”
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  8. 268

    Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting by Akemi Gálvez, Andrés Iglesias, Luis Cabellos

    Published 2014-01-01
    “…In this paper, we consider the problem of optimizing a weighted Bayesian energy functional for data fitting by using global-support approximating curves. …”
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    Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

    Published 2025-01-01
    “…Comparative analyses with other SOC estimation methods and additional datasets further validate the robustness, accuracy, and generalizability of the Bayesian-optimized TCN–LSTM network.…”
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    Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

    Published 2022-01-01
    “…To alleviate this problem, a hidden Markov model-Bayesian network (HMM-BN) hybrid model is proposed to alleviate the local optimum problem in the EM algorithm and diagnose the fault root cause variable. …”
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  16. 276

    Does transcutaneous auricular vagus nerve stimulation alter pupil dilation? A living Bayesian meta-analysis by Ipek Pervaz, Lilly Thurn, Cecilia Vezzani, Luisa Kaluza, Anne Kühnel, Nils B. Kroemer

    Published 2025-03-01
    “…Methods: Here, we synthesize the existing evidence and compare conventional (“continuous”) and pulsed stimulation protocols using a Bayesian meta-analysis. To maintain a living version, we developed a Shiny App with the possibility to incorporate newly published studies in the future. …”
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    Article
  17. 277

    Compressive Sensing Based Bayesian Sparse Channel Estimation for OFDM Communication Systems: High Performance and Low Complexity by Guan Gui, Li Xu, Lin Shan, Fumiyuki Adachi

    Published 2014-01-01
    “…To improve the estimation performance, we proposed a compressive sensing based Bayesian sparse channel estimation (BSCE) method which cannot only exploit the channel sparsity but also mitigate the unexpected channel uncertainty without scarifying any computational complexity. …”
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