Pages that link to "Item:Q2605104"
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The following pages link to The use of ranks to avoid the assumption of normality implicit in the analysis of variance. (Q2605104):
Displaying 13 items.
- Explainable contextual anomaly detection using quantile regression forests (Q6535176) (← links)
- A knee point-driven many-objective evolutionary algorithm with adaptive switching mechanism (Q6536380) (← links)
- Minkowski distance measure in fuzzy PROMETHEE for ensemble feature selection (Q6567060) (← links)
- A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction (Q6567426) (← links)
- Efficient configuration of heterogeneous multistatic sonar networks: a mixed-integer linear programming approach (Q6568448) (← links)
- A model-agnostic and data-independent tabu search algorithm to generate counterfactuals for tabular, image, and text data (Q6572858) (← links)
- Time series clustering with random convolutional kernels (Q6609089) (← links)
- A neutral comparison of statistical methods for analyzing longitudinally measured ordinal outcomes in rare diseases (Q6625376) (← links)
- Integer linear programming models and greedy heuristic for the minimum weighted independent dominating set problem (Q6638677) (← links)
- Roughly balanced bagging for imbalanced data (Q6641624) (← links)
- A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails (Q6643330) (← links)
- Using orthogonal trend contrasts for testing ranked data with ordered alternatives (Q6647324) (← links)
- Bridging operations research and machine learning for service cost prediction in logistics and service industries (Q6658322) (← links)