Search alternatives:
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
data optimization » path optimization (Expand Search), dose optimization (Expand Search), art optimization (Expand Search)
binary phase » binary image (Expand Search), final phase (Expand Search)
phase driven » kras driven (Expand Search), wave driven (Expand Search), phase five (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data data » dna data (Expand Search), meta data (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
data optimization » path optimization (Expand Search), dose optimization (Expand Search), art optimization (Expand Search)
binary phase » binary image (Expand Search), final phase (Expand Search)
phase driven » kras driven (Expand Search), wave driven (Expand Search), phase five (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data data » dna data (Expand Search), meta data (Expand Search)
-
101
-
102
ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: -
103
-
104
The comparison of the accuracy score of the benchmark and the proposed models.
Published 2025Subjects: -
105
-
106
-
107
Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
Published 2025Subjects: -
108
-
109
-
110
-
111
Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: -
112
-
113
-
114
-
115
Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
Published 2021“…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …”
-
116
-
117
Pseudo Code of RBMO.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
-
118
P-value on CEC-2017(Dim = 30).
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
-
119
Memory storage behavior.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
-
120
Elite search behavior.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”