The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Nesting algorithm for multi-classification problems (Q882799) (← links)
- Post-pruning in decision tree induction using multiple performance measures (Q883297) (← links)
- Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection (Q885172) (← links)
- New heuristic for harmonic means clustering (Q887198) (← links)
- A Fisher consistent multiclass loss function with variable margin on positive examples (Q887268) (← links)
- Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions (Q888561) (← links)
- Credit risk prediction using fuzzy immune learning (Q888689) (← links)
- Grid topologies for the self-organizing map (Q889269) (← links)
- Fast Gaussian kernel learning for classification tasks based on specially structured global optimization (Q889286) (← links)
- Feature selection for linear SVMs under uncertain data: robust optimization based on difference of convex functions algorithms (Q889303) (← links)
- Ordinal regression neural networks based on concentric hyperspheres (Q889306) (← links)
- Logarithmic learning for generalized classifier neural network (Q889333) (← links)
- Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise (Q889372) (← links)
- Performance improvement of classifier fusion for batch samples based on upper integral (Q889383) (← links)
- Convex nonnegative matrix factorization with manifold regularization (Q889387) (← links)
- Active learning for semi-supervised clustering based on locally linear propagation reconstruction (Q889394) (← links)
- Adaptive learning rate of SpikeProp based on weight convergence analysis (Q889396) (← links)
- Global binary optimization on graphs for classification of high-dimensional data (Q890097) (← links)
- Pruning of error correcting output codes by optimization of accuracy-diversity trade off (Q890296) (← links)
- Using causal discovery for feature selection in multivariate numerical time series (Q890305) (← links)
- An incremental piecewise linear classifier based on polyhedral conic separation (Q890307) (← links)
- Probabilistic combination of classification rules and its application to medical diagnosis (Q890315) (← links)
- Deep learning of support vector machines with class probability output networks (Q890735) (← links)
- Efficient nonconvex sparse group feature selection via continuous and discrete optimization (Q892230) (← links)
- A new variable importance measure for random forests with missing data (Q892440) (← links)
- A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood (Q892490) (← links)
- Mixture of latent trait analyzers for model-based clustering of categorical data (Q892805) (← links)
- An improved robust and sparse twin support vector regression via linear programming (Q894317) (← links)
- Efficient feature selection based on correlation measure between continuous and discrete features (Q894485) (← links)
- MSAFC: matrix subspace analysis with fuzzy clustering ability (Q894666) (← links)
- Learning extended tree augmented naive structures (Q895526) (← links)
- Clustering and outlier detection using isoperimetric number of trees (Q898224) (← links)
- Nonlinear multicriteria clustering based on multiple dissimilarity matrices (Q898226) (← links)
- Using robust dispersion estimation in support vector machines (Q898231) (← links)
- Order statistics-based parametric classification for multi-dimensional distributions (Q898236) (← links)
- A second order cone programming approach for semi-supervised learning (Q898241) (← links)
- Non-negative and sparse spectral clustering (Q898301) (← links)
- The C-loss function for pattern classification (Q898303) (← links)
- Integrated Fisher linear discriminants: an empirical study (Q898334) (← links)
- Ensemble clustering by means of clustering embedding in vector spaces (Q898340) (← links)
- A unified view of class-selection with probabilistic classifiers (Q898341) (← links)
- Exploiting the relationships among several binary classifiers via data transformation (Q898390) (← links)
- Stratified graphical models -- context-specific independence in graphical models (Q899060) (← links)
- Interactive error correction in implicative theories (Q899138) (← links)
- Granular fuzzy models: analysis, design, and evaluation (Q899183) (← links)
- Learning from incomplete data in Bayesian networks with qualitative influences (Q899463) (← links)
- Online streaming feature selection using rough sets (Q899464) (← links)
- The role of local partial independence in learning of Bayesian networks (Q899469) (← links)
- Comparative analysis of logic operators: a perspective of statistical testing and granular computing (Q900268) (← links)
- Extending mixtures of factor models using the restricted multivariate skew-normal distribution (Q900823) (← links)
