Prikaz rezultata 61 – 80 od 82 za pretragu '"expectation–maximization algorithm"', vrijeme upita: 0,41s Detaljiziraj rezultate
  1. 61
    A Multi-Rate Probabilistic Slow Feature Regression Model for Dynamic Feature Learning and Industrial Soft Sensor Development

    A Multi-Rate Probabilistic Slow Feature Regression Model for Dynamic Feature Learning and Industrial Soft Sensor Development od Miao Zhang, Zhiwei Wen, Le Zhou

    Izdano 2022-01-01
    Teme:
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  2. 62
    Estimations and optimal censoring schemes for the unified progressive hybrid gamma-mixed Rayleigh distribution

    Estimations and optimal censoring schemes for the unified progressive hybrid gamma-mixed Rayleigh distribution od Showkat Ahmad Lone, Hanieh Panahi, Sadia Anwar, Sana Shahab

    Izdano 2023-07-01
    Teme: “…stochastic expectation-maximization algorithm…”
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  3. 63
    Estimation and Bayesian Prediction of the Generalized Pareto Distribution in the Context of a Progressive Type-II Censoring Scheme

    Estimation and Bayesian Prediction of the Generalized Pareto Distribution in the Context of a Progressive Type-II Censoring Scheme od Tianrui Ye, Wenhao Gui

    Izdano 2024-09-01
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  4. 64
    Enabling multiplexed testing of pooled donor cells through whole-genome sequencing

    Enabling multiplexed testing of pooled donor cells through whole-genome sequencing od Yingleong Chan, Ying Kai Chan, Daniel B. Goodman, Xiaoge Guo, Alejandro Chavez, Elaine T. Lim, George M. Church

    Izdano 2018-04-01
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  5. 65
    Point and Figure Portfolio Optimization using Hidden Markov Models and Its Application on the Bumi Resources Tbk Shares

    Point and Figure Portfolio Optimization using Hidden Markov Models and Its Application on the Bumi Resources Tbk Shares od Kastolan Kastolan, Berlian Setiawaty, N. K. Kutha Ardana

    Izdano 2021-05-01
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  6. 66
    Statistical Inference of Truncated Normal Distribution Based on the Generalized Progressive Hybrid Censoring

    Statistical Inference of Truncated Normal Distribution Based on the Generalized Progressive Hybrid Censoring od Xinyi Zeng, Wenhao Gui

    Izdano 2021-02-01
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  7. 67
    EM Estimation for the Bivariate Mixed Exponential Regression Model

    EM Estimation for the Bivariate Mixed Exponential Regression Model od Zezhun Chen, Angelos Dassios, George Tzougas

    Izdano 2022-05-01
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  8. 68
    Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components

    Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components od Franz Ramsauer, Aleksey Min, Michael Lingauer

    Izdano 2019-07-01
    Teme: “…expectation-maximization algorithm…”
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  9. 69
    An unsupervised clustering method for nuclear magnetic resonance transverse relaxation spectrums based on the Gaussian mixture model and its application

    An unsupervised clustering method for nuclear magnetic resonance transverse relaxation spectrums based on the Gaussian mixture model and its application od Xinmin GE, Zong’an XUE, Jun ZHOU, Falong HU, Jiangtao LI, Hengrong ZHANG, Shuolong WANG, Shenyuan NIU, Ji’er ZHAO

    Izdano 2022-04-01
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  10. 70
    Goodness of Fit Tests for the Log-Logistic Distribution Based on Cumulative Entropy under Progressive Type II Censoring

    Goodness of Fit Tests for the Log-Logistic Distribution Based on Cumulative Entropy under Progressive Type II Censoring od Yuge Du, Wenhao Gui

    Izdano 2019-04-01
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  11. 71
    A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting

    A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting od Liangcai Zhou, Yi Zhou, Linlin Liu, Xiaoying Zhao

    Izdano 2024-10-01
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  12. 72
    Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

    Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error od Shengjin Tang, Chuanqiang Yu, Xue Wang, Xiaosong Guo, Xiaosheng Si

    Izdano 2014-01-01
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  13. 73
    The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)

    The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM) od Mohd Yusoff, Mohd Izhan, Abu Bakar, Mohd. Rizam, Mohd Nor, Abu Hassan Shaari

    Izdano 2009
    Teme: “…Expectation-maximization algorithms.…”
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  14. 74
    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data

    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data od Aljawdi, Bader

    Izdano 2011
    Teme:
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    Disertacija
  15. 75
    Improving multi-criteria decision making algorithm for material selection

    Improving multi-criteria decision making algorithm for material selection od Jahan, Ali

    Izdano 2011
    Teme: “…Expectation-maximization algorithms…”
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    Disertacija
  16. 76
    Inference for One-Shot Devices with Dependent <i>k</i>-Out-of-<i>M</i> Structured Components under Gamma Frailty

    Inference for One-Shot Devices with Dependent <i>k</i>-Out-of-<i>M</i> Structured Components under Gamma Frailty od Man-Ho Ling, Narayanaswamy Balakrishnan, Chenxi Yu, Hon Yiu So

    Izdano 2021-11-01
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  17. 77
    The EM algorithm and related statistical models /

    The EM algorithm and related statistical models / od Watanabe, Michiko, 1956-, Yamaguchi, Kazunori, 1962-

    Izdano 2004
    Teme: “…Expectation-maximization algorithms…”
  18. 78
    Application of EM algorithm on missing categorical data analysis /

    Application of EM algorithm on missing categorical data analysis / od Noraini Hasan, 1986-, Ismail Mohamad, supervisor, Fakulti Sains

    Izdano 2009
    Teme: “…Expectation-maximization algorithms…”
  19. 79
    Application of EM algorithm on missing categorical data analysis [electronic resource] /

    Application of EM algorithm on missing categorical data analysis [electronic resource] / od Noraini Hasan, 1986-, Fakulti Sains

    Izdano 2009
    Teme: “…Expectation-maximization algorithms…”
  20. 80
    Distributed localization of a RF target in NLOS environments

    Distributed localization of a RF target in NLOS environments od Xu, Wenjie, Quitin, Francois, Leng, Mei, Tay, Wee Peng, Razul, Sirajudeen G.

    Izdano 2019
    Teme:
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    Journal Article

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