The following pages link to (Q4261789):
Displaying 50 items.
- Estimation of the misclassification error for multicategory support vector machine classification (Q943493) (← links)
- Decision theory classification of high-dimensional vectors based on small samples (Q946209) (← links)
- Kernel methods for learning languages (Q950199) (← links)
- Statistical information approaches for the modelling of the epileptic brain (Q951913) (← links)
- Variable predictive models-a new multivariate classification approach for pattern recognition applications (Q955809) (← links)
- Soft clustering using weighted one-class support vector machines (Q955814) (← links)
- Discriminatively regularized least-squares classification (Q955831) (← links)
- Discrete support vector decision trees via tabu search (Q957011) (← links)
- An extensive comparison of recent classification tools applied to microarray data (Q957169) (← links)
- Confidence intervals for probabilistic network classifiers (Q957276) (← links)
- Using support vector machines to learn the efficient set in multiple objective discrete optimization (Q958095) (← links)
- Parzen windows for multi-class classification (Q958247) (← links)
- Learning rates for regularized classifiers using multivariate polynomial kernels (Q958248) (← links)
- Reducing mechanism design to algorithm design via machine learning (Q959896) (← links)
- Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment (Q960116) (← links)
- Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria (Q961341) (← links)
- Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine (Q961343) (← links)
- The convergence rate for a \(K\)-functional in learning theory (Q962475) (← links)
- Local contrast enhancement and adaptive feature extraction for illumination-invariant face recognition (Q962756) (← links)
- An outlier map for support vector machine classification (Q965126) (← links)
- Moving least-square method in learning theory (Q968963) (← links)
- Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women (Q969931) (← links)
- Adjusted support vector machines based on a new loss function (Q970172) (← links)
- Induction over strategic agents: a genetic algorithm solution (Q970177) (← links)
- Analysis of the consistency of a mixed integer programming-based multi-category constrained discriminant model (Q970178) (← links)
- Optimizing feature selection to improve medical diagnosis (Q970180) (← links)
- Estimates of variation with respect to a set and applications to optimization problems (Q970575) (← links)
- Multiple instance learning via margin maximization (Q972299) (← links)
- Applicability of statistical learning algorithms for spatial variability of rock depth (Q972675) (← links)
- Adaptive pruning algorithm for least squares support vector machine classifier (Q973696) (← links)
- Learning rates of multi-kernel regularized regression (Q974504) (← links)
- Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases (Q975561) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- Rough support vector regression (Q976335) (← links)
- Partially linear support vector machines applied to the prediction of mine slope movements (Q984150) (← links)
- Kernel-based nonlinear discriminant analysis using minimum squared errors criterion for multiclass and undersampled problems (Q985573) (← links)
- People re-identification by spectral classification of silhouettes (Q985582) (← links)
- A modification of kernel discriminant analysis for high-dimensional data-with application to face recognition (Q985593) (← links)
- Information divergence estimation based on data-dependent partitions (Q988952) (← links)
- Nonlinear separation of data via mixed 0-1 integer and linear programming (Q990586) (← links)
- Image and video colorization using vector-valued reproducing kernel Hilbert spaces (Q993570) (← links)
- Fast learning rates for plug-in classifiers (Q995418) (← links)
- A SVM-based cursive character recognizer (Q996468) (← links)
- Deriving weights in multiple-criteria decision making with support vector machines (Q997938) (← links)
- Embedding sample points uncertainty measures in learning algorithms (Q1003548) (← links)
- Prediction of Alzheimer's diagnosis using semi-supervised distance metric learning with label propagation (Q1004962) (← links)
- View independent face detection based on horizontal rectangular features and accuracy improvement using combination kernel of various sizes (Q1005651) (← links)
- Bayesian approach, theory of empirical risk minimization. Comparative analysis (Q1008355) (← links)
- On kernel difference-weighted \(k\)-nearest neighbor classification (Q1008943) (← links)
- Distance-based discriminant analysis method and its applications (Q1008946) (← links)
