The following pages link to On ψ-Learning (Q4468485):
Displaying 50 items.
- Regularization of case-specific parameters for robustness and efficiency (Q252778) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms (Q477981) (← links)
- Non-crossing large-margin probability estimation and its application to robust SVM via pre\-condi\-tion\-ing (Q537462) (← links)
- Self-organizing maps by difference of convex functions optimization (Q736509) (← links)
- Robust support vector machines for multiple instance learning (Q744714) (← links)
- A Fisher consistent multiclass loss function with variable margin on positive examples (Q887268) (← links)
- New and efficient DCA based algorithms for minimum sum-of-squares clustering (Q898299) (← links)
- Gene selection and prediction for cancer classification using support vector machines with a reject option (Q901576) (← links)
- Applying the multi-category learning to multiple video object extraction (Q937421) (← links)
- Adjusted support vector machines based on a new loss function (Q970172) (← links)
- High-dimensional pseudo-logistic regression and classification with applications to gene expression data (Q1020833) (← links)
- Convergence rates of generalization errors for margin-based classification (Q1021988) (← links)
- Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model (Q1642987) (← links)
- Homotopy continuation approaches for robust SV classification and regression (Q1697922) (← links)
- Query-dependent ranking and its asymptotic properties (Q1722064) (← links)
- Cost-sensitive feature selection for support vector machines (Q1734839) (← links)
- DC programming and DCA: thirty years of developments (Q1749443) (← links)
- Adaptively weighted large-margin angle-based classifiers (Q1750000) (← links)
- Optimization approaches to supervised classification (Q1753623) (← links)
- A note on margin-based loss functions in classification (Q1770065) (← links)
- Explicit connections between longitudinal data analysis and kernel machines (Q1952003) (← links)
- Multilayer tensor factorization with applications to recommender systems (Q1990581) (← links)
- Assessing robustness of classification using an angular breakdown point (Q1990584) (← links)
- Sentiment analysis with covariate-assisted word embeddings (Q2044406) (← links)
- Two-level monotonic multistage recommender systems (Q2074300) (← links)
- Nonregular and minimax estimation of individualized thresholds in high dimension with binary responses (Q2091840) (← links)
- Proximal operator and optimality conditions for ramp loss SVM (Q2119753) (← links)
- Robustness of learning algorithms using hinge loss with outlier indicators (Q2292231) (← links)
- On handling indicator constraints in mixed integer programming (Q2374361) (← links)
- Heuristic approaches for support vector machines with the ramp loss (Q2448185) (← links)
- Borrowing information from relevant microarray studies for sample classification using weighted partial least squares (Q2500306) (← links)
- Piecewise linear regularized solution paths (Q2642739) (← links)
- Adversarial classification via distributional robustness with Wasserstein ambiguity (Q2693647) (← links)
- Robust penalized logistic regression with truncated loss functions (Q3087592) (← links)
- Minimum clinically important difference in medical studies (Q3465716) (← links)
- Adaptive Weighted Learning for Unbalanced Multicategory Classification (Q3623753) (← links)
- Predictive decision making under risk and uncertainty: A support vector machines model (Q4603930) (← links)
- (Q4633025) (← links)
- A robust support vector machine for labeling errors (Q4638803) (← links)
- On Reject and Refine Options in Multicategory Classification (Q4962439) (← links)
- Large‐margin classification with multiple decision rules (Q4970185) (← links)
- Targeted Local Support Vector Machine for Age-Dependent Classification (Q4975568) (← links)
- Learning Optimal Distributionally Robust Individualized Treatment Rules (Q4999141) (← links)
- (Q5038378) (← links)
- An iterative algorithm to learn from positive and unlabeled examples (Q5066784) (← links)
- Multicategory large margin classification with unequal costs (Q5082932) (← links)
- Sparse optimization for nonconvex group penalized estimation (Q5222360) (← links)
- Learning in the context of nonlinear psychophysics: The Gamma Zak Embedding (Q5287157) (← links)
- Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers (Q5327286) (← links)
