Search alternatives:
expectation optimization » expectation maximization (Expand Search), operation optimization (Expand Search), generation optimization (Expand Search)
expectation optimization » expectation maximization (Expand Search), operation optimization (Expand Search), generation optimization (Expand Search)
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141
Normalized features over time.
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. …”
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142
Outliers Z score greater than 3.
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. …”
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143
Component connection topology of LSTM.
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. …”
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144
Proposed ACB-XDE detailed framework.
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. …”
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145
The sub-portion of the above Fig 17.
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. …”
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146
MAE confidence interval variation.
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. …”
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147
Summary of data before and after preprocessing.
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. …”
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148
Graphical overview of the proposed study.
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. …”
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149
Structure of new customized-attention mechanism.
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. …”
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150
Gating mechanism of LSTM.
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. …”
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151
Attention-customized BiLSTM parameter settings.
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. …”
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152
Structure of the data.
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. …”
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153
Bitcoin price prediction using XGBoost.
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. …”
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154
Parameter settings of XGBoost.
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. …”
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155
Table 1_Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study.docx
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.…”
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156
Overall flowchart of the proposed model.
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. …”
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157
FDR and Runtime for ALARM.
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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158
FDR ().
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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159
FDR ().
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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160
Average Runtime in seconds.
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”