Pages that link to "Item:Q2583320"

The following pages link to Optimal parameter selection in support vector machines (Q2583320):

Displaying 23 items.

• A nested heuristic for parameter tuning in support vector machines (Q336941) (← links)
• Optimization of SVM parameters for recognition of regulatory DNA sequences (Q621732) (← links)
• Regularized multidimensional scaling with radial basis functions (Q747026) (← links)
• Global resolution of the support vector machine regression parameters selection problem with LPCC (Q748597) (← links)
• Optimizing resources in model selection for support vector machine (Q856459) (← links)
• Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space (Q1010078) (← links)
• Tuning of the hyperparameters for \(L2\)-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique (Q1669630) (← links)
• Discriminant analysis of regularized multidimensional scaling (Q2061339) (← links)
• Self-adaptive support vector machines: modelling and experiments (Q2271791) (← links)
• Predicting non-life insurer's insolvency using non-kernel fuzzy quadratic surface support vector machines (Q2313785) (← links)
• On regularisation parameter transformation of support vector machines (Q2379787) (← links)
• Efficient optimization of support vector machine learning parameters for unbalanced datasets (Q2503014) (← links)
• Clustering based polyhedral conic functions algorithm in classification (Q2514696) (← links)
• Fuzzy quadratic surface support vector machine based on Fisher discriminant analysis (Q2515290) (← links)
• The automatic tuning of scaling coefficients in feature selection problem for SVMs (Q2850336) (← links)
• Model selection of C-support vector machines based on multi-threading genetic algorithm (Q2855830) (← links)
• A study of attribute weighted SVM based on a genetic algorithm (Q2858444) (← links)
• Kernel Parameter Selection for Support Vector Machine Classification (Q3192635) (← links)
• Efficient optimization of hyper-parameters for least squares support vector regression (Q3458833) (← links)
• (Q4011990) (← links)
• (Q5260095) (← links)
• (Q5386441) (← links)
• Choosing multiple parameters for support vector machines (Q5959957) (← links)