The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Exploiting the categorical reliability difference for binary classification (Q1661476) (← links)
- Private-key fully homomorphic encryption for private classification (Q1662301) (← links)
- An improved brain-inspired emotional learning algorithm for fast classification (Q1662757) (← links)
- Matrix completion discriminant analysis (Q1663150) (← links)
- SIMD parallel MCMC sampling with applications for big-data Bayesian analytics (Q1663281) (← links)
- Mixture model selection via hierarchical BIC (Q1663289) (← links)
- Model based clustering of high-dimensional binary data (Q1663311) (← links)
- Stream-based extreme learning machine approach for big data problems (Q1664676) (← links)
- A robust AdaBoost.RT based ensemble extreme learning machine (Q1665122) (← links)
- One-class classification with extreme learning machine (Q1665625) (← links)
- Particle swarm optimization based selective ensemble of online sequential extreme learning machine (Q1665837) (← links)
- \(K\)-nearest neighbor intervals based AP clustering algorithm for large incomplete data (Q1665949) (← links)
- Formalization of human categorization process using interpolative Boolean algebra (Q1666158) (← links)
- An enhanced artificial bee colony-based support vector machine for image-based fault detection (Q1666212) (← links)
- Neighborhood hypergraph based classification algorithm for incomplete information system (Q1666460) (← links)
- Intrinsic dimension estimation: relevant techniques and a benchmark framework (Q1666523) (← links)
- Spectral clustering with local projection distance measurement (Q1666683) (← links)
- TWSVR: regression via twin support vector machine (Q1667536) (← links)
- Incremental learning for \(\nu\)-support vector regression (Q1669094) (← links)
- A new robust model of one-class classification by interval-valued training data using the triangular kernel (Q1669149) (← links)
- Discriminative clustering via extreme learning machine (Q1669156) (← links)
- Near-Bayesian support vector machines for imbalanced data classification with equal or unequal misclassification costs (Q1669160) (← links)
- OCReP: an optimally conditioned regularization for pseudoinversion based neural training (Q1669179) (← links)
- Incremental multi-class semi-supervised clustering regularized by Kalman filtering (Q1669180) (← links)
- Generalized quadratic discriminant analysis (Q1669596) (← links)
- A clustering ensemble: two-level-refined co-association matrix with path-based transformation (Q1669599) (← links)
- Matrixized learning machine with modified pairwise constraints (Q1669624) (← links)
- Clustering of multivariate binary data with dimension reduction via \(L_{1}\)-regularized likelihood maximization (Q1669628) (← links)
- Tuning of the hyperparameters for \(L2\)-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique (Q1669630) (← links)
- Ensemble clustering using factor graph (Q1669711) (← links)
- Online active learning of decision trees with evidential data (Q1669781) (← links)
- Iterative ensemble normalized cuts (Q1669788) (← links)
- Fisher-regularized support vector machine (Q1671742) (← links)
- Automatic emergence detection in complex systems (Q1674830) (← links)
- Strong valid inequalities for Boolean logical pattern generation (Q1675646) (← links)
- Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification (Q1676889) (← links)
- Hybrid learning of Bayesian multinets for binary classification (Q1676890) (← links)
- Multiple kernel clustering based on centered kernel alignment (Q1676950) (← links)
- Optimizing area under the ROC curve using semi-supervised learning (Q1677038) (← links)
- Quantification-oriented learning based on reliable classifiers (Q1677082) (← links)
- Generation of rough sets reducts and constructs based on inter-class and intra-class information (Q1677115) (← links)
- Alternating multiconlitron: a novel framework for piecewise linear classification (Q1677207) (← links)
- Least squares twin multi-class classification support vector machine (Q1677210) (← links)
- A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis (Q1677213) (← links)
- Dynamic classifier aggregation using interaction-sensitive fuzzy measures (Q1677625) (← links)
- A convex semi-nonnegative matrix factorisation approach to fuzzy \(c\)-means clustering (Q1677633) (← links)
- An active learning-based SVM multi-class classification model (Q1677844) (← links)
- A multi-class SVM approach based on the \( l_1\)-norm minimization of the distances between the reduced convex hulls (Q1677845) (← links)
- Weighted classifier ensemble based on quadratic form (Q1677847) (← links)
- Pareto models for discriminative multiclass linear dimensionality reduction (Q1677856) (← links)
