Showing 141 - 160 results of 196 for search 'Expectation optimization algorithm', query time: 0.30s Refine Results
  1. 141

    Normalized features over time. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  2. 142

    Outliers Z score greater than 3. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  3. 143

    Component connection topology of LSTM. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  4. 144

    Proposed ACB-XDE detailed framework. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  5. 145

    The sub-portion of the above Fig 17. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  6. 146

    MAE confidence interval variation. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  7. 147

    Summary of data before and after preprocessing. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  8. 148

    Graphical overview of the proposed study. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  9. 149

    Structure of new customized-attention mechanism. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  10. 150

    Gating mechanism of LSTM. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  11. 151

    Attention-customized BiLSTM parameter settings. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  12. 152

    Structure of the data. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  13. 153

    Bitcoin price prediction using XGBoost. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  14. 154

    Parameter settings of XGBoost. by Riaz Ud Din (21101290)

    Published 2025
    “…<div><p>Forecasting speculative stock prices is essential for effective investment risk management and requires innovative algorithms. However, the speculative nature, volatility, and complex sequential dependencies within financial markets present inherent challenges that necessitate advanced techniques. …”
  15. 155

    Table 1_Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study.docx by Britta Steffens (13231326)

    Published 2025
    “…As such, prediction tools utilizing this algorithm are expected to facilitate and safely optimize jaundice risk assessment at hospital discharge with the potential to reduce jaundice-related rehospitalizations.…”
  16. 156

    Overall flowchart of the proposed model. by Cai Yuanqing (22513351)

    Published 2025
    “…This paper presents a method for credit risk prediction for listed companies that uses an off-policy proximal policy optimization (PPO) algorithm for feature selection and imbalanced classification. …”
  17. 157

    FDR and Runtime for ALARM. by Nand Sharma (21519845)

    Published 2025
    “…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
  18. 158

    FDR (). by Nand Sharma (21519845)

    Published 2025
    “…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
  19. 159

    FDR (). by Nand Sharma (21519845)

    Published 2025
    “…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
  20. 160

    Average Runtime in seconds. by Nand Sharma (21519845)

    Published 2025
    “…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”