The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Granular self-organizing map (grSOM) for structure identification (Q2507322) (← links)
- Review on computational trust and reputation models (Q2508416) (← links)
- Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks (Q2509602) (← links)
- Related family: a new method for attribute reduction of covering information systems (Q2510171) (← links)
- Dynamic programming approach to optimization of approximate decision rules (Q2510537) (← links)
- A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks (Q2510814) (← links)
- Rayleigh projection depth (Q2512746) (← links)
- A theoretical and empirical analysis of support vector machine methods for multiple-instance classification (Q2512897) (← links)
- Regression conformal prediction with random forests (Q2512902) (← links)
- SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding (Q2512905) (← links)
- Quality-aware visual data analysis (Q2513375) (← links)
- Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT (Q2513385) (← links)
- Clustering based polyhedral conic functions algorithm in classification (Q2514696) (← links)
- A novel discriminant minimum class locality preserving canonical correlation analysis and its applications (Q2515279) (← links)
- Fuzzy quadratic surface support vector machine based on Fisher discriminant analysis (Q2515290) (← links)
- Exception rules in association rule mining (Q2518471) (← links)
- A foundation of rough sets theoretical and computational hybrid intelligent system for survival analysis (Q2519510) (← links)
- Improving support vector data description using local density degree (Q2565839) (← links)
- Mathematical programming based heuristics for improving LP-generated classifiers for the multiclass supervised classification problem (Q2566054) (← links)
- Sensitivity analysis applied to the construction of radial basis function networks (Q2568012) (← links)
- Decision tree learning with fuzzy labels (Q2568253) (← links)
- A tandem clustering process for multimodal datasets (Q2569087) (← links)
- Solving feature subset selection problem by a parallel scatter search (Q2570148) (← links)
- A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems (Q2572256) (← links)
- The application and effectiveness of a multi-objective metaheuristic algorithm for partial classi\-fication (Q2572859) (← links)
- Learning the kernel parameters in kernel minimum distance classifier (Q2573639) (← links)
- Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization (Q2575822) (← links)
- Prototype selection for dissimilarity-based classifiers (Q2575824) (← links)
- Local optimization method with global multidimensional search (Q2576444) (← links)
- An efficient support vector machine learning method with second-order cone programming for large-scale problems (Q2576752) (← links)
- Learning from positive and unlabeled examples (Q2581364) (← links)
- Sparse representation on graphs by tight wavelet frames and applications (Q2627888) (← links)
- A new semi-supervised classifier based on maximum vector-angular margin (Q2628170) (← links)
- Data complexity measured by principal graphs (Q2629455) (← links)
- Imbalanced data classification using second-order cone programming support vector machines (Q2629845) (← links)
- Primal explicit max margin feature selection for nonlinear support vector machines (Q2629859) (← links)
- DANCo: an intrinsic dimensionality estimator exploiting angle and norm concentration (Q2629866) (← links)
- Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems (Q2629868) (← links)
- LiNearN: a new approach to nearest neighbour density estimator (Q2629871) (← links)
- The CART decision tree for mining data streams (Q2629872) (← links)
- Further improvements in feature-weighted fuzzy C-means (Q2629953) (← links)
- Alternating direction method of multipliers for \(\ell_{1}\)-\(\ell_{2}\)-regularized logistic regression model (Q2630840) (← links)
- An auto-adjustable semi-supervised self-training algorithm (Q2633260) (← links)
- Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor (Q2633546) (← links)
- Convex decomposition based cluster labeling method for support vector clustering (Q2637278) (← links)
- Squeezing the last drop: Cluster-based classification algorithm (Q2643041) (← links)
- Natural learning in NLDA networks (Q2643781) (← links)
- Multiclass classifiers based on dimension reduction with generalized LDA (Q2643877) (← links)
- On using prototype reduction schemes to optimize dissimilarity-based classification (Q2643878) (← links)
- A discriminant analysis using composite features for classification problems (Q2643879) (← links)
