The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Metabolic systemic computing: Exploiting innate immunity within an artificial organism for on-line self-organisation and anomaly detection (Q839512) (← links)
- A fixed-center spherical separation algorithm with kernel transformations for classification problems (Q839850) (← links)
- Constructing the best linear combination of diagnostic markers via sequential sampling (Q842956) (← links)
- Feature selection via Boolean independent component analysis (Q845317) (← links)
- Regularized multiple criteria linear programs for classification (Q848372) (← links)
- Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data (Q850147) (← links)
- Splitting methods for decision tree induction: An exploration of the relative performance of two entropy-based families (Q851794) (← links)
- Classification using hierarchical naïve Bayes models (Q851860) (← links)
- Kernels as features: on kernels, margins, and low-dimensional mappings (Q851869) (← links)
- MODL: a Bayes optimal discretization method for continuous attributes (Q851870) (← links)
- Training a reciprocal-sigmoid classifier by feature scaling-space (Q851878) (← links)
- Domain described support vector classifier for multi-classification problems (Q853093) (← links)
- Logistic regression using covariates obtained by product-unit neural network models (Q853094) (← links)
- A cooperative constructive method for neural networks for pattern recognition (Q853100) (← links)
- Specialization models for a general fuzzy set covering framework (Q853401) (← links)
- Partitional fuzzy clustering methods based on adaptive quadratic distances (Q853407) (← links)
- A dual-objective evolutionary algorithm for rules extraction in data mining (Q853550) (← links)
- The effect of imbalanced data sets on LDA: a theoretical and empirical analysis (Q854228) (← links)
- Information cut for clustering using a gradient descent approach (Q856432) (← links)
- Robust kernel Isomap (Q856442) (← links)
- Kernel PCA for novelty detection (Q856444) (← links)
- An improved incremental training algorithm for support vector machines using active query (Q856460) (← links)
- Adaptive simplification of solution for support vector machine (Q856462) (← links)
- A holistic approach for resource-aware adaptive data stream mining (Q857989) (← links)
- Support vector classifiers via gradient systems with discontinuous righthand sides (Q858899) (← links)
- A hierarchical ant based clustering algorithm and its use in three real-world applications (Q864009) (← links)
- Comparison of the Bayesian and randomised decision tree ensembles within an uncertainty envelope technique (Q864940) (← links)
- Ensemble learning using multi-objective evolutionary algorithms (Q864942) (← links)
- Clustering rules: A comparison of partitioning and hierarchical clustering algorithms (Q864946) (← links)
- Art networks with geometrical distances (Q866542) (← links)
- Neural network explanation using inversion (Q866739) (← links)
- Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation (Q866743) (← links)
- Rectified nearest feature line segment for pattern classification (Q869036) (← links)
- Self-generating prototypes for pattern classification (Q869039) (← links)
- Matrix-pattern-oriented Ho--Kashyap classifier with regularization learning (Q869046) (← links)
- The potential of fuzzy neural networks in the realization of approximate reasoning engines (Q869130) (← links)
- Improved customer choice predictions using ensemble methods (Q872292) (← links)
- Efficiently updating and tracking the dominant kernel principal components (Q872404) (← links)
- Experiments with safe \(\mu\)ARTMAP: effect of the network parameters on the network performance (Q872417) (← links)
- Systematic tuning of parameters in support vector clustering (Q876061) (← links)
- Detection of ECG arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine (Q876679) (← links)
- Breast cancer prediction using the isotonic separation technique (Q877069) (← links)
- Newtonian clustering: an approach based on molecular dynamics and global optimization (Q877118) (← links)
- K-T.R.A.C.E: a kernel \(k\)-means procedure for classification (Q878596) (← links)
- \(K\)-harmonic means data clustering with simulated annealing heuristic (Q879469) (← links)
- The BYY annealing learning algorithm for Gaussian mixture with automated model selection (Q882225) (← links)
- Rotation, scale and translation invariant handwritten Devanagari numeral character recognition using general fuzzy neural network (Q882236) (← links)
- Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression (Q882240) (← links)
- Designing a classifier by a layered multi-population genetic programming approach (Q882254) (← links)
- Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems (Q882258) (← links)
