The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis (Q1869895) (← links)
- Data abstractions for decision tree induction (Q1870535) (← links)
- Iterative Bayes (Q1870536) (← links)
- Bounding the generalization error of convex combinations of classifiers: Balancing the dimensionality and the margins. (Q1872344) (← links)
- Class visualization of high-dimensional data with applications. (Q1874121) (← links)
- Mining classification rules using rough sets and neural networks (Q1877063) (← links)
- A principal components analysis self-organizing map (Q1877572) (← links)
- A decomposability index in logical analysis of data (Q1878410) (← links)
- Least angle regression. (With discussion) (Q1879940) (← links)
- On approximating weighted sums with exponentially many terms (Q1880781) (← links)
- Combining labelled and unlabelled data in the design of pattern classification systems (Q1881166) (← links)
- Selecting potentially relevant records using re-identification methods (Q1882549) (← links)
- A high performance \(k\)-NN approach using binary neural networks (Q1883890) (← links)
- A neural network model with bounded-weights for pattern classification (Q1883892) (← links)
- Is it worth generating rules from neural network ensembles? (Q1884273) (← links)
- An evolutionary system for neural logic networks using genetic programming and indirect encoding (Q1884277) (← links)
- Learning multicriteria classification models from examples: decision rules in continuous space (Q1885756) (← links)
- Exact and approximate discrete optimization algorithms for finding useful disjunctions of categorical predicates in data analysis (Q1885808) (← links)
- Pareto-optimal patterns in logical analysis of data (Q1885813) (← links)
- Measures on Boolean polynomials and their applications in data mining (Q1885816) (← links)
- Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring (Q1886668) (← links)
- Learning effective classifiers with \(Z\)-value measure based on genetic programming (Q1887801) (← links)
- Hybrid misclassification minimization (Q1923883) (← links)
- Margin maximization in spherical separation (Q1928756) (← links)
- A meta-cognitive learning algorithm for a fully complex-valued relaxation network (Q1929717) (← links)
- Dense neighborhoods on affinity graph (Q1931579) (← links)
- Analysis and test of efficient methods for building recursive deterministic perceptron neural networks (Q1931966) (← links)
- Principal whitened gradient for information geometry (Q1932003) (← links)
- A learning rule for very simple universal approximators consisting of a single layer of perceptrons (Q1932023) (← links)
- Multilogistic regression by means of evolutionary product-unit neural networks (Q1932055) (← links)
- Greedy rule generation from discrete data and its use in neural network rule extraction (Q1932069) (← links)
- SAKM: self-adaptive kernel machine. A kernel-based algorithm for online clustering (Q1932096) (← links)
- Data classification with multilayer perceptrons using a generalized error function (Q1932100) (← links)
- Boosting random subspace method (Q1932108) (← links)
- A fast nearest neighbor classifier based on self-organizing incremental neural network (Q1932126) (← links)
- One-class support vector ensembles for image segmentation and classification (Q1932899) (← links)
- Error-correcting output codes based ensemble feature extraction (Q1933552) (← links)
- A comparative analysis of support vector machines and extreme learning machines (Q1941592) (← links)
- Maxi-Min discriminant analysis via online learning (Q1942698) (← links)
- Weighted twin support vector machines with local information and its application (Q1942705) (← links)
- Laplacian twin support vector machine for semi-supervised classification (Q1942706) (← links)
- Generalized locality preserving maxi-min margin machine (Q1942712) (← links)
- Twin support vector machine with Universum data (Q1942727) (← links)
- Scaling up minimum enclosing ball with total soft margin for training on large datasets (Q1942728) (← links)
- A coordinate descent margin based-twin support vector machine for classification (Q1943043) (← links)
- Exploiting unlabeled data to enhance ensemble diversity (Q1944971) (← links)
- Summarizing categorical data by clustering attributes (Q1944973) (← links)
- Mass estimation (Q1945021) (← links)
- On evaluating stream learning algorithms (Q1945035) (← links)
- Multi-parametric solution-path algorithm for instance-weighted support vector machines (Q1945116) (← links)
