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Found 7 papers, 2 papers with code
Spatial Heterogeneity Automatic Detection and Estimation
Spatial regression is widely used for modeling the relationship between a dependent variable and explanatory covariates.
Methodology
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Trace regression is a widely used method to model effects of matrix predictors and has shown great success in matrix learning.
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
This incentivizes developing domain adaptation methods that leverage the knowledge in known domains (source) and adapt to new domains (target) with a different probability distribution.
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability Estimation
In particular, the baseline learning has optimal computational complexity in the sense that it is linear in $K$.
Boosting Nyström Method
To improve the standard Nystr\"{o}m approximation, ensemble Nystr\"{o}m algorithms compute a mixture of Nystr\"{o}m approximations which are generated independently based on column resampling.
Robust Brain MRI Image Classification with SIBOW-SVM
Nonetheless, deep learning-based image classification methods, including CNN, face challenges in estimating class probabilities without proper model calibration.
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
The binary class probability is then estimated either by the $\ell^2$-norm regularized wSVMs framework with selected variables or by elastic net regularized wSVMs directly.
