On the Consistency of Ordinal Regression Methods

Many of the ordinal regression models that have been proposed in the literature can be seen as methods that minimize a convex surrogate of the zero-one, absolute, or squared

As we mentioned before, if we only look for a short time solution, the fully explicit scheme for the nonlinear convection term may be analyzed accordingly as well.. Moreover,

We successfully used MtL with domain-specific metafeatures to pre- dict the accuracy of regression models in predicting sales by product category in the retail industry. Our work

The proof uses the second order derivative of the average distance functional F, which itself rely on the second derivative of the distance function along smooth vector fields

This section compares Linear SVMs trained on the medium-scale and large-scale datasets using the batch Annealed NonConvex NP-SVM solver (BNP-SVM, algo- rithm 3), the online

Let 3-jk denote the theory Y + BRo restricted to the case in which the bar recursion and primitive recursion functors have type levels.. not exceeding j and

We compute in particular the second order derivative of the functional and use it to exclude smooth points of positive curvature for the problem with volume constraint.. The

For the case of X-ray imaging and precisely coherent imaging techniques, this problem translates into the urge to develop real-time phase-retrieval algorithms, which can retrieve