The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Multi-group support vector machines with measurement costs: A biobjective approach (Q2478436) (← links)
- An efficient modified boosting method for solving classification problems (Q2479397) (← links)
- Reformulation of the support set selection problem in the logical analysis of data (Q2480202) (← links)
- Model combination for credit risk assessment: a stacked generalization approach (Q2480229) (← links)
- A systematic study on attribute reduction with rough sets based on general binary relations (Q2482433) (← links)
- Bayesian network classifiers versus selective \(k\)-NN classifier (Q2485033) (← links)
- Minimax classifiers based on neural networks (Q2485035) (← links)
- Uncorrelated discriminant vectors using a kernel method (Q2485052) (← links)
- Linear dimensionality reduction using relevance weighted LDA (Q2485060) (← links)
- Overlap pattern synthesis with an efficient nearest neighbor classifier (Q2485068) (← links)
- A one-dimensional analysis for the probability of error of linear classifiers for normally distributed classes (Q2485069) (← links)
- Possibilistic support vector machines (Q2485073) (← links)
- Improved learning of Riemannian metrics for exploratory analysis (Q2485231) (← links)
- Robust growing neural gas algorithm with application in cluster analysis (Q2485235) (← links)
- Symbolic classification, clustering and fuzzy radial basis function network (Q2486040) (← links)
- Hyper-rectangular space partitioning trees: practical approach (Q2488385) (← links)
- Fuzzy relational neural network (Q2488624) (← links)
- Classification and query evaluation using modelling with words (Q2488635) (← links)
- Improved sign-based learning algorithm derived by the composite nonlinear Jacobi process (Q2488877) (← links)
- An agent-based approach for predictions based on multi-dimensional complex data. (Q2490746) (← links)
- Modular learning models in forecasting natural phenomena. (Q2490831) (← links)
- Modelling and reasoning with vague concepts. With a foreword by Didier Dubois. (Q2491990) (← links)
- Class-dependent PCA, MDC and LDA: a combined classifier for pattern classification (Q2495915) (← links)
- Confidence-based classifier design (Q2495916) (← links)
- Spectral feature projections that maximize Shannon mutual information with class labels (Q2495917) (← links)
- Locally linear metric adaptation with application to semi-supervised clustering and image retrieval (Q2495918) (← links)
- An aggregated clustering approach using multi-ant colonies algorithms (Q2495922) (← links)
- FS\(_-\)SFS: a novel feature selection method for support vector machines (Q2495927) (← links)
- Geometric visualization of clusters obtained from fuzzy clustering algorithms (Q2496301) (← links)
- The geometry of linear separability in data sets (Q2497241) (← links)
- Optimal decisions in combining the SOM with nonlinear projection methods (Q2497256) (← links)
- Two-group classification via a biobjective margin maximization model (Q2497257) (← links)
- Robust classification and regression using support vector machines (Q2497274) (← links)
- Adaptive fusion and co-operative training for classifier ensembles (Q2498667) (← links)
- Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces (Q2498675) (← links)
- Learning hybrid Bayesian networks using mixtures of truncated exponentials (Q2499048) (← links)
- Optimization-based feature selection with adaptive instance sampling (Q2499140) (← links)
- Evaluating the performance of cost-based discretization versus entropy- and error-based discretization (Q2499141) (← links)
- Diversification for better classification trees (Q2499153) (← links)
- Classification using hierarchical Naïve Bayes models (Q2499542) (← links)
- Classification-based objective functions (Q2499545) (← links)
- \(L_p\) fuzzy ARTMAP neural network architecture (Q2500771) (← links)
- Efficient optimization of support vector machine learning parameters for unbalanced datasets (Q2503014) (← links)
- Batch and median neural gas (Q2506505) (← links)
- TreeSOM: cluster analysis in the self-organizing map (Q2506536) (← links)
- Supervised classification with conditional Gaussian networks: increasing the structure complexity from naive Bayes (Q2506808) (← links)
- A simple and fast multi-class piecewise linear pattern classifier (Q2507058) (← links)
- A novel gray-based reduced NN classification method (Q2507060) (← links)
- Boosted ARTMAP: modifications to fuzzy ARTMAP motivated by boosting theory (Q2507302) (← links)
- Comparison of relevance learning vector quantization with other metric adaptive classification methods (Q2507321) (← links)
