Pages that link to "Item:Q2315646"
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The following pages link to The curse of dimensionality of decision-making units: a simple approach to increase the discriminatory power of data envelopment analysis (Q2315646):
Displaying 12 items.
- DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption (Q421507) (← links)
- Modelling a multi-period production process: evidence from the Japanese regional banks (Q2031106) (← links)
- Variable selection in convex quantile regression: \(\mathcal{L}_1\)-norm or \(\mathcal{L}_0\)-norm regularization? (Q2083962) (← links)
- Operational research and artificial intelligence methods in banking (Q2106712) (← links)
- Random forests and the measurement of super-efficiency in the context of free disposal hull (Q2171619) (← links)
- Number of performance measures versus number of decision making units in DEA (Q2241198) (← links)
- Aggregation of inputs and outputs prior to data envelopment analysis under big data (Q2282502) (← links)
- Are the Portuguese public hospitals sustainable? A triple bottom line hybrid data envelopment analysis approach (Q6056123) (← links)
- Unconditionally stable Monte Carlo simulation for solving the multi-dimensional Allen-Cahn equation (Q6153143) (← links)
- Data-driven subjective performance evaluation: An attentive deep neural networks model based on a call centre case (Q6491737) (← links)
- Evaluating different methods for ranking inputs in the context of the performance assessment of decision making units: a machine learning approach (Q6551089) (← links)
- Comparing eco-efficiency with productive efficiency: addressing the dimensionality issue (Q6555195) (← links)
