Pages that link to "Item:Q1669607"
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The following pages link to Performance evaluation of classification algorithms by \(k\)-fold and leave-one-out cross validation (Q1669607):
Displaying 9 items.
- A novel surrogate-model based active learning method for structural reliability analysis (Q2136699) (← links)
- Error analysis of a model order reduction framework for financial risk analysis (Q2153946) (← links)
- KS(conf): a light-weight test if a multiclass classifier operates outside of its specifications (Q2193578) (← links)
- Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning (Q2242334) (← links)
- What is an optimal value of \(k\) in \(k\)-fold cross-validation in discrete Bayesian network analysis? (Q2667012) (← links)
- Feature selection using stochastic approximation with Barzilai and Borwein non-monotone gains (Q2668766) (← links)
- Improved Cross-Validation for Classifiers that Make Algorithmic Choices to Minimise Runtime Without Compromising Output Correctness (Q5014692) (← links)
- The more the merrier? A machine learning analysis of information growth in negotiation processes (Q6201660) (← links)
- Predictive modelling of critical variables for improving HVOF coating using gamma regression models (Q6617846) (← links)
