The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Stable estimation of a covariance matrix guided by nuclear norm penalties (Q1623701) (← links)
- Kernel multilogit algorithm for multiclass classification (Q1623757) (← links)
- Accurate ensemble pruning with PL-bagging (Q1623764) (← links)
- Mixtures of common \(t\)-factor analyzers for modeling high-dimensional data with missing values (Q1623795) (← links)
- Multi-variable regression methods using modified Chebyshev polynomials of class 2 (Q1624689) (← links)
- Inter-variable correlation prediction with fuzzy connected-triples (Q1626233) (← links)
- DESPOTA: an algorithm to detect the partition in the extended hierarchy of a dendrogram (Q1627895) (← links)
- Data preprocessing method and fault diagnosis based on evaluation function of information contribution degree (Q1629560) (← links)
- Ensemble of a subset of \(k\)NN classifiers (Q1630834) (← links)
- Equi-Clustream: a framework for clustering time evolving mixed data (Q1630853) (← links)
- Classification of splice-junction sequences via weighted position specific scoring approach (Q1631273) (← links)
- Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes (Q1631789) (← links)
- Deep Gaussian process autoencoders for novelty detection (Q1631796) (← links)
- Local contrast as an effective means to robust clustering against varying densities (Q1631815) (← links)
- Discovering a taste for the unusual: exceptional models for preference mining (Q1631830) (← links)
- Case-based reasoning: the search for similar solutions and identification of outliers (Q1635045) (← links)
- Robust relevance vector machine for classification with variational inference (Q1639214) (← links)
- Information-theoretic feature selection with discrete \(k\)-median clustering (Q1639220) (← links)
- A new approach for classifier model selection and tuning using logistic regression and genetic algorithms (Q1639487) (← links)
- A novel weight adjustment method for handling concept-drift in data stream classification (Q1639780) (← links)
- Semi-supervised AUC optimization based on positive-unlabeled learning (Q1640567) (← links)
- Dyad ranking using Plackett-Luce models based on joint feature representations (Q1640577) (← links)
- Simultaneous variable weighting and determining the number of clusters -- a weighted Gaussian means algorithm (Q1640944) (← links)
- \(L_1\) splitting rules in survival forests (Q1641909) (← links)
- Probability-one homotopy methods for constrained clustering (Q1643878) (← links)
- Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach (Q1644084) (← links)
- A three-way clustering approach for handling missing data using GTRS (Q1644891) (← links)
- Local rough set: a solution to rough data analysis in big data (Q1647855) (← links)
- Entropy-based pruning for learning Bayesian networks using BIC (Q1647947) (← links)
- RHSBoost: improving classification performance in imbalance data (Q1654228) (← links)
- Logitboost autoregressive networks (Q1654262) (← links)
- Estimation of population proportion for judgment post-stratification (Q1654283) (← links)
- Gradient boosting for high-dimensional prediction of rare events (Q1658126) (← links)
- Weighted particle tempering (Q1658348) (← links)
- Uncertainty-safe large scale support vector machines (Q1658451) (← links)
- Canonical kernel dimension reduction (Q1658489) (← links)
- Partial identification in the statistical matching problem (Q1658727) (← links)
- On bandwidth selection using minimal spanning tree for kernel density estimation (Q1659027) (← links)
- Robust regression estimation and inference in the presence of cellwise and casewise contamination (Q1659174) (← links)
- An optimal SVM with feature selection using multiobjective PSO (Q1659221) (← links)
- HHCART: an oblique decision tree (Q1659462) (← links)
- Graph-theoretic multisample tests of equality in distribution for high dimensional data (Q1659474) (← links)
- Hierarchical independent component analysis: a multi-resolution non-orthogonal data-driven basis (Q1659489) (← links)
- A probabilistic estimation and prediction technique for dynamic continuous social science models: the evolution of the attitude of the Basque country population towards ETA as a case study (Q1659624) (← links)
- Relative-error approximate versions of Douglas-Rachford splitting and special cases of the ADMM (Q1659676) (← links)
- A triplot for multiclass classification visualisation (Q1660130) (← links)
- New upper bounds for tight and fast approximation of Fisher's exact test in dependency rule mining (Q1660238) (← links)
- Noise peeling methods to improve boosting algorithms (Q1660240) (← links)
- Optimizing between data transformation and parametric weighting for stable binary classification (Q1661444) (← links)
- Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy (Q1661472) (← links)
