The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Classification of multivariate time series and structured data using constructive induction (Q1774584) (← links)
- Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers (Q1778137) (← links)
- On discriminative Bayesian network classifiers and logistic regression (Q1778143) (← links)
- Latent classification models (Q1778144) (← links)
- Learning Bayesian network classifiers: Searching in a space of partially directed acyclic graphs (Q1778146) (← links)
- A \(k\)-populations algorithm for clustering categorical data (Q1779750) (← links)
- Pattern layer reduction for a generalized regression neural network by using a self-organizing map (Q1784078) (← links)
- Multivariate Student-\(t\) self-organizing maps (Q1784529) (← links)
- New support vector algorithms with parametric insensitive/margin model (Q1784537) (← links)
- Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method (Q1784562) (← links)
- TSVR: an efficient twin support vector machine for regression (Q1784563) (← links)
- On the sparseness of 1-norm support vector machines (Q1784565) (← links)
- An equi-biased \(k\)-prototypes algorithm for clustering mixed-type data (Q1789116) (← links)
- Candidate groups search for K-harmonic means data clustering (Q1792370) (← links)
- A truncation algorithm for minimizing the Frobenius-Schatten norm to find a sparse matrix (Q1792415) (← links)
- A core set based large vector-angular region and margin approach for novelty detection (Q1792718) (← links)
- Simplified information maximization for improving generalization performance in multilayered neural networks (Q1792925) (← links)
- A novel margin-based measure for directed hill climbing ensemble pruning (Q1793078) (← links)
- Robust K-Median and K-means clustering algorithms for incomplete data (Q1793159) (← links)
- An improved semisupervised outlier detection algorithm based on adaptive feature weighted clustering (Q1793446) (← links)
- A new conic approach to semisupervised support vector machines (Q1793456) (← links)
- Feature scaling via second-order cone programming (Q1793515) (← links)
- Fault diagnosis for engine based on single-stage extreme learning machine (Q1793607) (← links)
- Fault diagnosis method based on information entropy and relative principal component analysis (Q1794150) (← links)
- Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures (Q1794971) (← links)
- Generalised kernel weighted fuzzy c-means clustering algorithm with local information (Q1795024) (← links)
- Fuzzy clustering using multiple Gaussian kernels with optimized-parameters (Q1795053) (← links)
- Fuzzy wavelet extreme learning machine (Q1795138) (← links)
- Speeding up the large-scale consensus fuzzy clustering for handling big data (Q1795233) (← links)
- Visualizing data through curvilinear representations of matrices (Q1796955) (← links)
- Generalized rough set models determined by multiple neighborhoods generated from a similarity relation (Q1797820) (← links)
- Multi-functional nearest-neighbour classification (Q1797921) (← links)
- Training an extreme learning machine by localized generalization error model (Q1797937) (← links)
- Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks (Q1797939) (← links)
- Efficient extreme learning machine via very sparse random projection (Q1797950) (← links)
- Greedy active learning algorithm for logistic regression models (Q1799821) (← links)
- Assessing classifiers in terms of the partial area under the ROC curve (Q1800075) (← links)
- Cluster forests (Q1800126) (← links)
- A new algorithm for Boolean matrix factorization which admits overcovering (Q1800383) (← links)
- Direct-optimal basis computation by means of the fusion of simplification rules (Q1800392) (← links)
- Boosting the margin: a new explanation for the effectiveness of voting methods (Q1807156) (← links)
- Possibilistic conditional independence: A similarity-based measure and its application to causal network learning (Q1818003) (← links)
- Squeezer: An efficient algorithm for clustering categorical data. (Q1850693) (← links)
- Converting numerical classification into text classification (Q1853681) (← links)
- Three perspectives of data mining (Q1853684) (← links)
- The use of kernel principal component analysis to model data distributions (Q1856666) (← links)
- An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering (Q1856699) (← links)
- A multinomial selection procedure for evaluating pattern recognition algorithms (Q1860218) (← links)
- A rough-fuzzy approach for generating classification rules (Q1860221) (← links)
- Partitioning algorithms and combined model integration for data mining (Q1861614) (← links)
