Search alternatives:
design optimization » bayesian optimization (Expand Search)
level optimization » lead optimization (Expand Search), model optimization (Expand Search), global optimization (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
binary level » urinary levels (Expand Search), primary level (Expand Search), entry level (Expand Search)
level design » novel design (Expand Search)
design optimization » bayesian optimization (Expand Search)
level optimization » lead optimization (Expand Search), model optimization (Expand Search), global optimization (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
binary level » urinary levels (Expand Search), primary level (Expand Search), entry level (Expand Search)
level design » novel design (Expand Search)
-
1
Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
Published 2021“…We fill the gap by developing an iterative matching algorithm for the three-group setting. Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”
-
2
Thesis-RAMIS-Figs_Slides
Published 2024“…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
-
3
Table 1_Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.docx
Published 2025“…Multiple machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, Logistic Regression, CatBoost, and MLP, were optimized and evaluated. …”