The following pages link to (Q5405227):
Displaying 20 items.
- Separability of set-valued data sets and existence of support hyperplanes in the support function machine (Q781879) (← links)
- Incremental learning for \(\nu\)-support vector regression (Q1669094) (← links)
- Generalized Kalman smoothing: modeling and algorithms (Q1678609) (← links)
- Banks to basics! Why banking regulation should focus on equity (Q2140179) (← links)
- A framework for parallel and distributed training of neural networks (Q2181060) (← links)
- Possibility measure based fuzzy support function machine for set-based fuzzy classifications (Q2212557) (← links)
- Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM (Q2415560) (← links)
- A semismooth Newton method for support vector classification and regression (Q2419554) (← links)
- A majorization-minimization scheme for<i>L</i><sub>2</sub>support vector regression (Q3389658) (← links)
- A Large Dimensional Analysis of Least Squares Support Vector Machines (Q4628262) (← links)
- Massive data discrimination via linear support vector machines (Q4954021) (← links)
- A cost-effective approach to portfolio construction with range-based risk measures (Q4991085) (← links)
- Tensor Regression Using Low-Rank and Sparse Tucker Decompositions (Q5037550) (← links)
- Iteratively reweighted least square for asymmetric <i>L</i><sub>2</sub>-Loss support vector regression (Q5082684) (← links)
- An efficient augmented Lagrangian method for support vector machine (Q5135259) (← links)
- Predictive Analytics with Strategically Missing Data (Q5148197) (← links)
- (Q5159408) (← links)
- Large-Scale Linear RankSVM (Q5378345) (← links)
- Globally convergent coderivative-based generalized Newton methods in nonsmooth optimization (Q6126654) (← links)
- Speeding up <i>L</i> <sub>2</sub> -loss support vector regression by random Fourier features (Q6552992) (← links)
