The following pages link to Theodore B. Trafalis (Q239397):
Displaying 49 items.
- Robust weighted kernel logistic regression in imbalanced and rare events data (Q452553) (← links)
- 2-facility manifold location routing problem (Q526422) (← links)
- Kernel logistic regression using truncated Newton method (Q645508) (← links)
- An analytic center machine for regression (Q1412117) (← links)
- A novel metaheuristics approach for continuous global optimization (Q1850836) (← links)
- An incremental primal-dual method for nonlinear programming with special structure (Q1936792) (← links)
- An approximation to max min fairness in multi commodity networks (Q2183560) (← links)
- A nonlinear multi-classification knowledge-based kernel machine (Q2271794) (← links)
- Kernel classification using a linear programming approach (Q2294591) (← links)
- A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces (Q2355716) (← links)
- A regularized pairwise multi-classification knowledge-based machine and applications (Q2378443) (← links)
- Robust multiclass kernel-based classifiers (Q2475610) (← links)
- Real-time prediction of order flowtimes using support vector regression (Q2483499) (← links)
- Learning networks in rainfall estimation (Q2493265) (← links)
- Robust classification and regression using support vector machines (Q2497274) (← links)
- Support vector regression to predict asphalt mix performance (Q2856327) (← links)
- Single-phase fluid flow classification via learning models (Q3008638) (← links)
- Linear Max-Min Fairness in Multi-commodity Flow Networks (Q3133350) (← links)
- Robust Data Mining (Q3144031) (← links)
- (Q3145803) (← links)
- (Q3162067) (← links)
- Support vector machine classification with noisy data: a second order cone programming approach (Q3163026) (← links)
- Fairness in Resource Allocation: Foundation and Applications (Q3294895) (← links)
- Support vector regression with noisy data: a second order cone programming approach (Q3426359) (← links)
- (Q3437131) (← links)
- (Q3437132) (← links)
- Learning networks for tornado detection (Q3442625) (← links)
- Short term forecasting with support vector machines and application to stock price prediction (Q3549307) (← links)
- (Q3556773) (← links)
- The p-Centre machine for regression analysis (Q3562391) (← links)
- Quadratic programming formulations for classificationand regression (Q3620910) (← links)
- Support vector machines for spatiotemporal tornado prediction (Q3654543) (← links)
- (Q3838888) (← links)
- (Q3974980) (← links)
- (Q4352219) (← links)
- (Q4363182) (← links)
- (Q4394593) (← links)
- (Q4464690) (← links)
- (Q4550761) (← links)
- On-line SVM learning via an incremental primal–dual technique (Q4924114) (← links)
- A Bayesian beta kernel model for binary classification and online learning problems (Q4969984) (← links)
- Efficient faces of polytopes: Interior point algorithms, parametrization of algebraic varieties, and multiple objective optimization (Q5202836) (← links)
- A data-driven kernel method assimilation technique for geophysical modelling (Q5268920) (← links)
- SVM Classification of Uncertain Data Using Robust Multi-Kernel Methods (Q5270517) (← links)
- A differential dynamic programming algorithm for differential games (Q5317800) (← links)
- Robust support vector machines for classification and computational issues (Q5758174) (← links)
- An analytic center machine (Q5959960) (← links)
- A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs (Q6538803) (← links)
- To raise or not to raise: the autonomous learning rate question (Q6661062) (← links)
