The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- State-space dynamics distance for clustering sequential data (Q632582) (← links)
- Individual attribute prior setting methods for naïve Bayesian classifiers (Q632588) (← links)
- A novel framework for multi-class classification via ternary smooth support vector machine (Q632623) (← links)
- Greedy optimization classifiers ensemble based on diversity (Q632627) (← links)
- Performance prediction methodology based on pattern recognition (Q634035) (← links)
- Variable neighborhood search for harmonic means clustering (Q636511) (← links)
- Average time complexity of decision trees. (Q639456) (← links)
- Missing-values adjustment for mixed-type data (Q642434) (← links)
- Fuzzy rough granular neural networks, fuzzy granules, and classification (Q642527) (← links)
- Evolutionary fuzzy clustering of relational data (Q642529) (← links)
- Fuzzy-rough nearest neighbour classification and prediction (Q642530) (← links)
- On the number of groups in clustering (Q645416) (← links)
- Kernel logistic regression using truncated Newton method (Q645508) (← links)
- A novel SVM+NDA model for classification with an application to face recognition (Q645858) (← links)
- Analysis of parameter selections for fuzzy \(c\)-means (Q645871) (← links)
- SpectralCAT: categorical spectral clustering of numerical and nominal data (Q645872) (← links)
- Partitioning hard clustering algorithms based on multiple dissimilarity matrices (Q645877) (← links)
- A family of measures for best top-\(n\) class-selective decision rules (Q645888) (← links)
- Heteroscedastic linear feature extraction based on sufficiency conditions (Q645911) (← links)
- A boosting approach for supervised Mahalanobis distance metric learning (Q645912) (← links)
- Learning qualitative models from numerical data (Q646510) (← links)
- Logical analysis of data: classification with justification (Q646700) (← links)
- A new column generation algorithm for logical analysis of data (Q646710) (← links)
- Automatic clustering using genetic algorithms (Q648318) (← links)
- Classification and categorical inputs with treed Gaussian process models (Q649163) (← links)
- Learning SVM with weighted maximum margin criterion for classification of imbalanced data (Q649635) (← links)
- Fuzzy Gaussian mixture models (Q650964) (← links)
- A covariance-free iterative algorithm for distributed principal component analysis on vertically partitioned data (Q650971) (← links)
- Unsupervised weight parameter estimation method for ensemble learning (Q662147) (← links)
- The use of linguistic variables and fuzzy propositions in the \(L\)-fuzzy concept theory (Q662230) (← links)
- An improved column generation algorithm for minimum sum-of-squares clustering (Q662300) (← links)
- Cohort-based kernel visualisation with scatter matrices (Q663371) (← links)
- Decoding design based on posterior probabilities in ternary error-correcting output codes (Q663412) (← links)
- Self-enhancement learning: target-creating learning and its application to self-organizing maps (Q663927) (← links)
- Extreme value correction: a method for correcting optimistic estimations in rule learning (Q669278) (← links)
- Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms (Q669282) (← links)
- Rethinking statistical learning theory: learning using statistical invariants (Q669285) (← links)
- Majority vote ensembles of conformal predictors (Q669293) (← links)
- Efficient Venn predictors using random forests (Q669306) (← links)
- Continuation methods for approximate large scale object sequencing (Q669313) (← links)
- A new class of nonmonotone conjugate gradient training algorithms (Q669374) (← links)
- Latent class analysis of incomplete data via an entropy-based criterion (Q670132) (← links)
- Solution of instance-based recognition problems with a large number of classes (Q679982) (← links)
- A note on model selection for small sample regression (Q682390) (← links)
- Novel weighting in single hidden layer feedforward neural networks for data classification (Q692228) (← links)
- GPUSVM: a comprehensive CUDA based support vector machine package (Q692995) (← links)
- Self-organizing map for symbolic data (Q695253) (← links)
- Local averaging of ensembles of LVQ-based nearest neighbor classifiers (Q702784) (← links)
- Support vector data description (Q703096) (← links)
- Fuzzy-rough data reduction with ant colony optimization (Q703340) (← links)
